Data & Statistics

Problem 4101

The average American gets a haircut every 43 days. Is the average smaller for college students? The data below shows the results of a survey of 13 college students asking them how many days elapse between haircuts. Assume that the distribution of the population is normal. 48,35,36,33,41,49,47,49,29,46,38,42,4048,35,36,33,41,49,47,49,29,46,38,42,40
What can be concluded at the the α=0.10\alpha=0.10 level of significance level of significance? a. For this study, we should use Select an answer b. The null and alternative hypotheses would be: H0H_{0} : ? 0 Select an answer H1H_{1} : ? \square Select an answer \square c. The test statistic ? \square == \square (please show your answer to 3 decimal places.) d. The pp-value == \square (Please show your answer to 3 decimal places.) e. The pp-value is ? \square α\alpha f. Based on this, we should Select an answer \square 0 숭 \square : g. Thus, the final conclusion is that ... The data suggest the populaton mean is significantly lower than 43 at α=0.10\alpha=0.10, so there is sufficient evidence to conclude that the population mean number of days between haircuts for college students is lower than 43. The data suggest the population mean number of days between haircuts for college students is not significantly lower than 43 at α=0.10\alpha=0.10, so there is insufficient evidence to conclude that the population mean number of days between haircuts for college students is lower than 43. The data suggest the population mean is not significantly lower than 43 at α=0.10\alpha=0.10, so there is sufficient evidence to conclude that the population mean number of days between haircuts for college students is equal to 43.

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Problem 4102

The interest rates paid by 30 financial institutions on a certain day for money market deposit accounts are shown in the accompanying table. \begin{tabular}{lcccccccc} \hline Rate \% & 2 & 2.25 & 2.55 & 2.56 & 2.58 & 2.60 & 2.65 & 2.85 \\ \hline Institutions & 1 & 7 & 8 & 3 & 2 & 6 & 1 & 2 \\ \hline \end{tabular}
Let the random variable XX denote the interest rate per year paid by a randomly chosen financial institution on its money market deposit accounts. (a) Find the probability distribution associated with these data. (Round your answers to three decimal places.) \begin{tabular}{cc} \hline Rate \% & P(X=x)\boldsymbol{P}(\boldsymbol{X}=\boldsymbol{x}) \\ \hline 2 & \square \\ \hline 2.25 & \square \\ \hline 2.55 & \square \\ \hline 2.56 & \square \\ \hline 2.58 & \square \\ \hline 2.60 & \square \\ \hline 2.65 & \\ \hline 2.85 & \\ \hline \end{tabular} (b) Find the probability that the interest rate paid by a financial institution chosen at random is less than 2.56\% per year. (Round your answer to three decimal places.) \square Need Help? Read It

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Problem 4103

The lengths of pregnandes of humans are normally distributed with a mean of 268 days and a standard deviation of 15 days. Find the probability of a pregnancy lasting more than 300 days A) 0.3189 B) 0.2375 C) 0.9834 D) 0.0166

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Problem 4104

A food distribution company conducted a study to determine whether a proposed premium to be included in boxes of its cereal was appealing enough to generate new sales. Four cities were used as test markets, where the cereal was distributed with the premium, and four cities as control markets, where the cereal was distributed without the premium. The eight cities were chosen on the basis of their similarity in terms of population, per capita income, and total cereal purchase volume. Find the standard deviation of the percent change in market share for the control cities. \begin{tabular}{|c|c|c|} \hline \multirow{4}{*}{ Test cities } & & \begin{tabular}{c} Percent Change in \\ Average Market Share per \\ Month \end{tabular} \\ \cline { 2 - 3 } & 1 & +10 \\ \cline { 2 - 3 } & 2 & +14 \\ \cline { 2 - 3 } & 3\mathbf{3} & +18 \\ \hline \multirow{3}{*}{\begin{tabular}{c} Control \\ cities \end{tabular}} & 1 & +2 \\ \cline { 2 - 3 } & 2 & +6 \\ \cline { 2 - 3 } & 3 & -2 \\ \cline { 2 - 3 } & 4\mathbf{4} & -8 \\ \hline \end{tabular}
The standard deviation of the percent change in market share for the control cities is \square (Simplify your answer. Type an integer or decimal rounded to the nearest hundredth as needed.)

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Problem 4105

We are going to calculate the standard deviation for the following set of data: 12,1,5,5,11. 1) First, calculate the mean.  mean =\text { mean }= \square 2) Fill in the table below. Fill in the deviations (differences) of each data value firom the mean, then the squared differences. 3) Calculate the standard deviation.
Standard deviation: ( data  mean )2 Number of values =\sqrt{\frac{\sum(\text { data }- \text { mean })^{2}}{\text { Number of values }}}= \qquad Round to two decimal places

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Problem 4106

Customers Frequency of 0 1 2 2 4 5 6 7 8 9 10 Occurrence 1 3 2 O 7 8 10 g 5 5 1 (a) Find the probability distribution of the random variable X, where X denotes the number of customers observed waiting in line. (Round your answers to three decimal places.) Customers P(X = x) 0 1 2 3 4 567 68 10

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Problem 4107

The 40 members of a recreation class were asked to name their favorite sports. The table shows the numbers who responded in various ways. Use information given in the table to answer parts (a) and (b). \begin{tabular}{|c|c|} \hline Sport & \begin{tabular}{c} Number of Class \\ Members \end{tabular} \\ \hline Sailing & 8 \\ Archery & 6 \\ Snowboarding & 6 \\ Bicycling & 4 \\ Rock Climbing & 8 \\ Rafting & 8 \\ \hline \end{tabular} (a) Construct a probability distribution. (Type integers or decimals rounded to three decimal places as needed.) \begin{tabular}{|c|c|c|} \hline Sport & \begin{tabular}{c} Number of Class \\ Members \end{tabular} & Probability \\ \hline Sailing & 8 & \square \\ Archery & 6 & \square \\ Snowboarding & 6 & \\ Bicycling & 4 & \\ Rock climbing & 8 & \square \\ Rafting & 8 & \square \\ \hline \end{tabular}

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Problem 4108

The data given below were taken from a study about the preferred payment method (Cash or Credit card). The table below indicates the numbers of people in the study according to their gender and preferred payment method. \begin{tabular}{ccc} \hline & Cash & Credit Card \\ \hline Men & 217 & 238 \\ Women & 220 & 325 \\ \hline \end{tabular}
If a person is selected at random, what is the probability that the person is a man and prefers the cash payment method?
Select one: a. 1.0000 b. 0.2380 c. 0.7620 d. 0.0000 e. 0.6750 f. 0.3250 g. 0.7830

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Problem 4109

E-mail : itc@bizeit.edu
The data given below were taken from a study about the preferred payment method (Cash or Credit card). The table below indicates the numbers of people in the study according to their gender and preferred payment method. \begin{tabular}{ccc} & Cash & Credit Card \\ \hline Men & 141 & 240 \\ Women & 206 & 413 \\ \hline \end{tabular}
If a person is selected at random, what is the probability that the person is a man or prefers the cash payment method?
Select one: a. 0.1410 b. 0.2400 c. 1.0000 d. 0.7940 e. 0.2060 f. 0.5870 g. 0.4130

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Problem 4110

Blood pressure: A blood pressure measurement consists of two numbers: the systolic pressure, which is the maximum pressure taken when the heart is contracting, and the diastolic pressure, which is the minimum pressure taken at the beginning of the heartbeat. Blood pressures were measured, in millimeters of mercury ( mmHg ), for a sample of 10 adults. The following table presents the results. \begin{tabular}{cc} \hline \multicolumn{2}{c}{ Systolic Diastolic } \\ \hline 150 & 94 \\ 134 & 87 \\ 105 & 66 \\ 107 & 71 \\ 115 & 83 \\ 110 & 74 \\ 113 & 77 \\ 157 & 103 \\ 116 & 70 \\ 112 & 75 \\ \hline \end{tabular} Send data to Excel
Part 1 of 3 (a) Construct a scatter plot of the diastolic blood pressure (y)(y) versus the systolic blood pressure (x)(x).
Part: 1 / 3
Part 2 of 3 (b) Compute the correlation coefficient between systolic and diastolic blood pressure. Round your answer to at least 3 decimal places.
The correlation coefficient is r=r= \square

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Problem 4111

the numbers: 4,9,3,6,4,8,10,1,4,7,54,9,3,6,4,8,10,1,4,7,5 Calculâte: a. Median b. Range

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Problem 4112

Ed Discussion Grades Honorlock ASUO ASU Tutoring Time in AZ ASU Course Policies Resources Accessibility 1.
Submit answer Practice similar
The table shows the profit, P(t)P(t) in thousands of dollars, a bakery earns per year where tt is the number of years since 2013 ( t=0t=0 represents the year 2013). \begin{tabular}{|c|c|c|c|c|c|c|c|c|} \hlinett & 0 & 1 & 2 & 3 & 4 & 5 & 6 & 7 \\ \hlineP(t)P(t) & 9 & 7.1 & 7.6 & 9.4 & 12 & 12.4 & 10.6 & 10.5 \\ \hline \end{tabular} a. The profit is decreasing - by \square thousand dollars per year between 2017 and 2020. b. The profit is \square by \square between 2014 and 2019. Submit answer Next item

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Problem 4113

Find the rate of change.
The rate of change is about \ \square$ per year. (Type an integer or a decimal rounded to two d as needed.)

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Problem 4114

Pop quiz scores 18) How many students scored 31 or higher?

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Problem 4115

What is the domain of the function shown in the table? \begin{tabular}{|c|c|} \hlinexx & yy \\ \hline 2 & 3 \\ \hline 4 & 4 \\ \hline 6 & 5 \\ \hline 8 & 6 \\ \hline \end{tabular} A. (2,3),(4,4),(6,5),(8,6)(2,3),(4,4),(6,5),(8,6) B. {2,3,4,5,6,8}\{2,3,4,5,6,8\} C. {2,4,6,8}\{2,4,6,8\} D. {3,4,5,6}\{3,4,5,6\}

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Problem 4116

The frequency polygon to the right shows a distribution of IQ scores. Determine if the following statement is true or false according to the graph.
The percentage of scores above 115 is equal to the percentage of scores below that score.
Is the statement true or false? True False

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Problem 4117

Name: Jerald Bollingsley
1. (Section 6.2) A researcher wonders if final exams raise the stress level of college-freshmen. Under normal circumstances, the average systolic blood pressure of healthy college-freshman is 120 with a standard deviation of 12. During final's week, the researcher tests 30 college-freshmen just before their Statistics Final Exam. She determines their average blood pressure is 123.2 . What should she conclude? Set up and test an appropriate hypothesis test using level of significance α=0.05\alpha=0.05. [Note: The units for systolic blood pressure are " mm HG" (millimeters of mercury].

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Problem 4118

1. 12 donuts and 3 muffins were laid out on 5 plates in such a way that there are three cakes on each plate. a) Calculate the probability that there is a plate with at least two muffins on it. b) Assume that each muffin is on a different plate. From a randomly chosen plate we move one randomly chosen cake to a different plate. Calculate the probability that after this move, each muffin will still be on a different plate. c) Calculate the expected value of the number of muffins on the second plate.

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Problem 4119

1. 12 donuts and 3 muffins were laid out on 5 plates in such a way that there are three cakes on each plate. a) Calculate the probability that there is a plate with at least two muffins on it. b) Assume that each muffin is on a different plate. From a randomly chosen plate we move one randomly chosen cake to a different plate. Calculate the probability that after this move, each muffin will still be on a different plate. c) Calculate the expected value of the number of muffins on the second plate.

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Problem 4120

2. (Section 6.3) [Testing Binomial Data]
You may want to begin this problem by writing down the definition of α]\alpha]. Suppose the null-hypothesis H0:p=0.7H_{0}: p=0.7 is tested against the alternative-hypothesis H1:p<0.7H_{1}: p<0.7 using a small sample size of n=7n=7. If the decision rule is to "Reject H0H_{0} if k3k \leq 3 ", then what is the test's level of significance α\alpha ?

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Problem 4121

The symbol of an unprefixed scientific unit has been left off of each measurement in the table below. Fill in the missing unit symbols. Note: by "scientific" unit we mean the SI unit, or unit approved for use with the SI, that is most often used by chemists for each measurement. \begin{tabular}{|rr|} \hline the mass of a US quarter == & 6.56.5 \square \\ \hline the mass of a US penny == & 2.52.5 \square \\ \hline the volume of soda in a sixpack == & 1.21.2 \square \\ \hline the length of a pencil == & 0.150.15 \square \\ \hline \end{tabular}

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Problem 4122

Fill in the information missing from this table. \begin{tabular}{|c|c|c|c|c|} \hline nuclide & protons & neutrons & ZZ & AA \\ \hline\square & 54 & 75 & \square & \square \\ \hline \begin{tabular}{c} 165 \\ 67Ho{ }_{67} \mathrm{Ho} \end{tabular} & \square & \square & \square & \square \\ \hline\square & \square & \square & 9 & 19 \\ \hline \end{tabular}

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Problem 4123

5. Let XX be a random variable from an exponential distribution with parameter 3. Calculate the variance of variable Z=3X4Z=3 X-4. Is variable Y=2XY=\frac{2}{X} continuous? If yes, find the density.

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Problem 4124

Listed below are the numbers of cricket chirps in 1 minute and the corresponding temperatures in F{ }^{\circ} \mathrm{F}. Find the regression equation, letting chirps in 1 minute be the independent ( xx ) variable. Find the best predicted temperature at a time when a cricket chirps 3000 times in 1 minute, using the regression equation. What is wrong with this predicted temperature? Use a significance level of 0.05 . \begin{tabular}{l|cccccccc} Chirps in 1 min & 973 & 752 & 1048 & 973 & 848 & 1071 & 846 & 1128 \\ \hline Temperature ( F{ }^{\circ} \mathrm{F} ) & 77.1 & 66 & 86.6 & 83.5 & 73.5 & 85.8 & 76.5 & 83.9 \end{tabular}
The regression equation is y^=\hat{y}= \square ++ \square xx. (Round the yy-intercept to one decimal place as needed. Round the slope to four decimal places as needed.)

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Problem 4125

The central angle of sector UU is 9090^{\circ}. What is the probability that the spinner lands on UU ?
Simplify your answer and write it as a proper fraction.

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Problem 4126

For exercises 1-4, answer the questions. Ayana takes a survey of 300 registered voters in her city. She asks if they support increasing the amount of money spent on street repairs.
1. What is the population?
2. What is the parameter?
3. What is the sample?
4. What conclusion can Ayana make from the results of the sample?

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Problem 4127

1. 9 donuts and 3 muffins were laid out on 4 plates in such a way that there are three cakes on each plate. a) Calculate the probability that there are three muffins on one of the plates. b) Assume that it's not the case that there are three muffins on one plate. From a randomly chosen plate we move one randomly chosen cake to a different plate. Calculate the probability that after this move, the three muffins will be on the same plate. c) Calculate the expected value of the number of muffins on the first plate.

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Problem 4128

The winning Super Bowl scores from 2013 to 2024 are: 13,23,24,25,28,31,31,34,34,38,41,4313,23,24,25,28,31,31,34,34,38,41,43
Put this data into the frequency table below. \begin{tabular}{c|c} Score & Frequency \\ \hline 101510-15 & 1 \\ 162116-21 & {[?][?]} \\ 222722-27 & \\ 283328-33 & 3 \\ 343934-39 & \\ 404540-45 & 2 \end{tabular}

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Problem 4129

The accompanying tree diagram represents an experiment consisting of two trials.
Use the diagram to find the probabilities below.  (a) P(A)1.4\begin{array}{l} \text { (a) } P(A) \\ 1.4 \end{array}  (b) P(EA)5 (c) P(AE)15\begin{array}{l} \text { (b) } \quad P(E \mid A) \\ 5 \\ \text { (c) } \quad P(A \cap E) \\ 15 \end{array} (d) P(E)P(E) 3535

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Problem 4130

ror his team. The table below shows the relationship bet the number of jerseys ordered and the total cost of the jerseys. Football Jerseys \begin{tabular}{|c|c|} \hline \begin{tabular}{c} Number \\ of Jerseys \end{tabular} & \begin{tabular}{c} Total Cost \\ ($)\mathbf{( \$ )} \end{tabular} \\ \hline 10 & 75 \\ \hline 20 & 150 \\ \hline 30 & 225 \\ \hline 40 & 300 \\ \hline \end{tabular}
Based on the information shown in the table, what is the total cost of ordering 52 jerseys?
Answer: \ \square$ 1 2 3 4 5 6 7

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Problem 4131

In his book Outliers, author Malcolm Gladwell argues that more baseball players have birth dates in the months immediately following July 31 , because that was the age cutoff date for non-school baseball leagues. Here is a sample of frequency counts of months of birth dates of American-born professional baseball players starting with January:384, 329, 357, 348, 339, 312,313,505,412,428,401,362312,313,505,412,428,401,362. 만 Using a 0.05 significance level, is there sufficient evidence to warrant rejection of the claim that American-born professional baseball players are born in different months with the same frequency? Do the sample values appear to support the author's claim?
Identify the null and alternative hypotheses. Choose the correct answer below. A. H0\mathrm{H}_{0} : At least one month has a different frequency of American-born professional baseball player birth dates than the other months. H1\mathrm{H}_{1} : The months immediately following July 31 have different frequencies of American-born professional baseball player birth dates than the other months. B. H0\mathrm{H}_{0} : Birth dates of American-born professional baseball players occur with the same frequency in all months of the year. H1\mathrm{H}_{1} : The months immediately following July 31 have different frequencies of American-born professional baseball player birth dates than the other months. C. H0\mathrm{H}_{0} : Birth dates of American-born professional baseball players occur with the same frequency in all months of the year. H1\mathrm{H}_{1} : At least one month has a different frequency of American-born professional baseball player birth dates than the other months. D. H0H_{0} : At least one month has a different frequency of American-born professional baseball player birth dates than the other months. H1\mathrm{H}_{1} : All months have different frequencies of American-born professional baseball player birth dates.

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Problem 4132

In his book Outliers, author Malcolm Gladwell argues that more baseball players have birth dates in the months immediately following July 31 , because that was the age cutoff date for non-school baseball leagues. Here is a sample of frequency counts of months of birth dates of American-born professional baseball players starting with January: 384, 329, 357, 348, 339, 312,313,505,412,428,401,362312,313,505,412,428,401,362. 믄 Using a 0.05 significance level, is there sufficient evidence to warrant rejection of the claim that American-born professional baseball players are born in different months with the same frequency? Do the sample values appear to support the author's claim?
Identify the null and alternative hypotheses. Choose the correct answer below. A. H0\mathrm{H}_{0} : At least one month has a different frequency of American-born professional baseball player birth dates than the other months. H1\mathrm{H}_{1} : The months immediately following July 31 have different frequencies of American-born professional baseball player birth dates than the other months. B. H0\mathrm{H}_{0} : Birth dates of American-born professional baseball players occur with the same frequency in all months of the year. H1H_{1} : The months immediately following July 31 have different frequencies of American-born professional baseball player birth dates than the other months. C. H0\mathrm{H}_{0} : Birth dates of American-born professional baseball players occur with the same frequency in all months of the year. H1\mathrm{H}_{1} : At least one month has a different frequency of American-born professional baseball player birth dates than the other months. D. H0H_{0} : At least one month has a different frequency of American-born professional baseball player birth dates than the other months. H1H_{1} : All months have different frequencies of American-born professional baseball player birth dates. Calculate the test statistic, χ2\chi^{2}. χ2=\chi^{2}=\square (Round to two decimal places as needed.)

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Problem 4133

In 2015, 88%88 \% of U.S. residents used the internet, up from 14%14 \% in 1995. The table shows the percent who use the internet for selected years from 2000 and projected to 2025. \begin{tabular}{cc|cc} \hline Year & Percent & Year & Percent \\ \hline 2000 & 67 & 2015 & 88 \\ 2005 & 79 & 2020 & 95 \\ 2010 & 82 & 2025 & 98 \\ \hline \end{tabular} (a) Find the logarithmic function that models the percent pp as a function of xx, the number of years after 1990. Report the model with 4 significant digit coefficients. y=y=\square (b) Visually determine whether this model is a good fit for the data. Yes, this model is a reasonably good fit for the data. No, this model is not a good fit for the data at all. (c) Use the model to predict the percentage of internet users in the United States in 2025. (Round your answer to one decimal place.) \square %\% Need Help? Read It

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Problem 4134

5. Let XX be a random variable from an exponential distribution with parameter 3 . Calculate the variance of variable Z=3X4Z=3 X-4. Is variable Y=2XY=\frac{2}{X} continuous? If yes, find the density.

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Problem 4135

12.1 HW Question 29, 12.1.11-T HW Score: 24.57\%, 7.12 of 29 points Save
A certain statistics instructor participates in triathlons. The accompanying table lists times (in minutes and seconds) he recorded while riding a bicycle for five laps through each mile of a 3-mile loop. Use a 0.05 significance level to test the claim that it takes the same time to ride each of the miles. Does one of the miles appear to have a hill?
Click the icon to view the data table of the riding times.
Determine the null and alternative hypotheses. H0:μ1=μ2=μ3H_{0}: \mu_{1}=\mu_{2}=\mu_{3} H1H_{1} : At least one of the three population means is different from the others.
Find the F test statistic. F=F= \square (Round to four decimal places as needed.)
Riding Times (minutes and seconds) \begin{tabular}{llllll} Mile 1 & 3:153: 15 & 3:233: 23 & 3:243: 24 & 3:223: 22 & 3:223: 22 \\ Mile 2 & 3:183: 18 & 3:213: 21 & 3:223: 22 & 3:173: 17 & 3:203: 20 \\ Mile 3 & 3:333: 33 & 3:323: 32 & 3:283: 28 & 3:323: 32 & 3:303: 30 \end{tabular} (Note: when pasting the data into your technology, each mile row will have separate columns for each minute and second entry. You will need to convert each minute/second entry into seconds only.)
Print Done Clear all Check answer

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Problem 4136

Find the mode for this list of numbers \begin{tabular}{|r|r|} \hline 56 & 87 \\ \hline 79 & 91 \\ \hline 4 & 40 \\ \hline 56 & 49 \\ \hline 75 & 34 \\ \hline 69 & 98 \\ \hline 48 & 24 \\ \hline 16 & \\ \hline \end{tabular}
Mode ==
Question Help: Worked Example 1

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Problem 4137

A construction company sells screened topsoil by the "yard," which is actually a cubic yard. Let the variable x be the length (yd) of each side of a cube of screened topsoil. The following table lists the values of x along with the corresponding cost (dollars). Construct a scatterplot and identify the mathematical model that best fits the given data. Assume that the model is to be used only for the scope of the given data, and consider only linear, quadratic, logarithmic, exponential, and power models.\text{A construction company sells screened topsoil by the "yard," which is actually a cubic yard. Let the variable } x \text{ be the length (yd) of each side of a cube of screened topsoil. The following table lists the values of } x \text{ along with the corresponding cost (dollars). Construct a scatterplot and identify the mathematical model that best fits the given data. Assume that the model is to be used only for the scope of the given data, and consider only linear, quadratic, logarithmic, exponential, and power models.}
x12345678Cost3124883719843875669610,63315,872\begin{array}{c|cccccccc} \mathbf{x} & 1 & 2 & 3 & 4 & 5 & 6 & 7 & 8 \\ \hline \text{Cost} & 31 & 248 & 837 & 1984 & 3875 & 6696 & 10,633 & 15,872 \end{array}
\text{Construct the scatterplot. Choose the correct graph below.} \begin{itemize} \item A. \item B. \item C. \item D. \end{itemize}
\text{What is the equation of the best model? Select the correct choice below and fill in the answer boxes to complete your choice. Enter only nonzero values.}
\begin{itemize} \item A. \text{The quadratic model } y=x2+(x+())y = \square \, x^2 + (\square \, x + (\square)) \item B. \text{The linear model } y=+xy = \square + \square \, x \item C. \text{The power model } y=xy = \square \, x^{\square} \item D. \text{The logarithmic model } y=+()lnxy = \square + (\square) \ln x \item E. \text{The exponential model } y=()exy = (\square) \, e^{\square \, x} \end{itemize}
\text{Clear all}
\text{Final check}
\text{Get more help}

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Problem 4138

Construct a boxplot for the given data. Include values of the 5 -number summary in all boxplots.
The weights (in pounds) of 30 newborn babies are listed below. Construct a boxplot for the data set. 5.55.75.85.96.16.16.36.46.56.66.76.76.76.97.07.07.07.17.27.27.47.57.77.77.88.08.18.18.38.7\begin{array}{l} 5.55 .75 .85 .96 .16 .16 .36 .46 .56 .6 \\ 6.76 .76 .76 .97 .07 .07 .07 .17 .27 .2 \\ 7.47 .57 .77 .77 .88 .08 .18 .18 .38 .7 \end{array}

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Problem 4139

done to determine this. (c) Employees at a large office building took a survey. The results show that those who began work earlier tended to drink less tea. which statement is most likely true? There is no correlation between start time and amount of tea consumed. There is a correlation between start time and amount of tea consumed. There may or may not be causation. Further studies would have to be done to determine this. There is a correlation between start time and amount of tea consumed. However, there is no causation. This is because there is a decrease in the amount of tea consumed with an earlier start time.

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Problem 4140

Answer the questions below. (a) A researcher measured the shoe size and reading ability of a large group of children. He found that, as shoe size increases, so does reading ability. What does his analysis show? There is no correlation between shoe size and reading ability. There is a correlation between shoe size and reading ability. There may or may not be causation. Further studies would have to be done to determine this. There is a correlation between shoe size and reading ability. There is probably also causation. This is because there is an increase in reading ability with an increase in shoe size.

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Problem 4141

There is a correlation between amount of gasoline bought and price. There may or may not be causation. Further studles would have to be done to determine this. (c) Ms. Anderson studied her chemistry students' homework and test scores. She found that students who completed more homework did not tend to earn higher or lower scores on the test. What should she conclude?
There is no correlation between test score and amount of homework completed. There is a correlation between test score and amount of homework completed. There is probably also causation. This is because there might be an increase in a student's test score with an increase in the amount of homework completed. There is a correlation between test score and amount of homework completed. There may or may not be causation. Further studies would have to be done to determine this.

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Problem 4142

In October, Pine Company reports 21,000 actual direct labor hours, and it incurs \118,000ofmanufacturingoverheadcosts.Standardhoursallowedfortheworkdoneis20,600hours.Thepredeterminedoverheadrateis118,000 of manufacturing overhead costs. Standard hours allowed for the work done is 20,600 hours. The predetermined overhead rate is \6 6 per direct labor hour.
Compute the total overhead variance.
Total Overhead Variance \ \square \square$ eTextbook and Media
Save for Later Attempts: 0 of 3 used Submit Answer

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Problem 4143

Current Attempt in Progress The standard cost of Product B manufactured by Pharrell Company includes 3 units of direct materials at $5.00\$ 5.00 per unit. During June, 29,000 units of direct materials are purchased at a cost of $4.70\$ 4.70 per unit, and 29,000 units of direct materials are used to produce 9,400 units of Product B. (a)
Compute the total materials variance and the price and quantity variances.
Total materials variance \ \square \square$
Materials price variance \ \square \square$
Materials quantity variance \ \square \square$ (b)
Compute the total materials variance and the price and quantity variances, assuming the purchase price is $5.15\$ 5.15 and the quantity purchased and used is 28,000 units.

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Problem 4144

1/181 / 18 Correct e Incorrect
A researcher randomly purchases several different kits of a popular building toy. The following table shows the number of pieces in each kit in the sample. Find the range of the data. \begin{tabular}{|c|c|} \hline \multicolumn{2}{|c|}{\begin{tabular}{c} Building \\ Toy Pieces \end{tabular}} \\ \hline 178 & 63 \\ \hline 283 & 368 \\ \hline 368 & 63 \\ \hline 122 & 314 \\ \hline 283 & 127 \\ \hline 188 & 534 \\ \hline \end{tabular} Copy Data

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Problem 4145

Find the median of the following data set. Assume the data set is a sample. 54,41,34,47,48,43,42,46,41,35,52,3954,41,34,47,48,43,42,46,41,35,52,39

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Problem 4146

The scores from the final exam in an English 101 course are given in the box plot. What was the average (median) score?
Answer

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Problem 4147

Geoffrey is looking at two datasets, each of which has the same mean. How can he determine which of the two datasets has less variability? (1 point) The dataset with less variability has a smaller deviation. The datasets have the same variability because their means are the same. The dataset with less variability has a greater deviation. The dataset with more pieces of data will have less variability.

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Problem 4148

Y=g22+0.146Y=\frac{g}{22}+0.146
Complete the missing entry in the table:
Question 1/41 / 4 \begin{tabular}{|l|l|} \hline Price of Gas (\/gal) & Cost of Driving Car (\/ / mile )) \\ \hline 2.00 & \\ \hline 3.00 & 0.28 \\ \hline 3.20 & \\ \hline 3.50 & 0.31 \\ \hline 4.00 & 0.33 \\ \hline 4.50 & 0.35 \\ \hline & 0.40 \\ \hline \end{tabular}

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Problem 4149

```latex \textbf{Foundations of Mathematics 11} \\ \textbf{5.3 Standard Deviation Part II}
\textbf{Analyze Data and Make Decisions}
\textbf{Example 1.} The coach of a varsity girls' basketball team keeps statistics on all the players. Near the end of one game, the score is tied and the best starting guard has fouled out. The coach needs to make a substitution. The coach examines the field goal stats for five guards on the bench in the last 10 games.
\begin{enumerate} \item[(a)] Calculate the mean and the standard deviation of the first four player's shooting percentage. \end{enumerate}
\begin{tabular}{|c|c|c|} \hline Player & Mean & Standard Deviation \\ \hline Anna & 36.7 & 5.88 \\ \hline Patrice & & \\ \hline Morgan & & \\ \hline Paige & & \\ \hline Star & 36.3 & 3.348 \\ \hline \end{tabular}
Anna (36.7)standaro\begin{array}{l} \text{Anna (36.7)} \\ \text{standaro} \end{array}
Deviation34610=5.88\begin{array}{l} \text{Deviation} \\ \sqrt{\frac{346}{10}}=5.88 \end{array}
The user took a picture with their phone and the text was extracted above. The user then had a dialogue with an AI Assistant to help clarify the instructions.
\textbf{Dialogue Transcript:}
\textbf{assistant:} Hello! It seems that we have a part of a math problem, but some information is missing. We have the mean and standard deviation for Anna's and Star's shooting percentages, but we don't have the data or results for Patrice, Morgan, and Paige. Could you please provide the shooting percentages for these players or specify what calculations you need help with? Once I have that information, I'll be able to assist you further!
\textbf{user:} I need to find the mean and standard deviation for each name
\textbf{assistant:} Great! To calculate the mean and standard deviation for each player's shooting percentages, I'll need the individual shooting percentages for each game for Patrice, Morgan, and Paige. Could you provide those?
If you have the shooting percentages for each of the 10 games for each player, we can proceed with the calculations. If you don't have them, any additional detail would be helpful!
\textbf{user:} Ok Patrice has a 364 shooting percentage
\textbf{assistant:} Thank you for providing Patrice's total shooting percentage. However, I suspect the value you provided might be a sum of shooting percentages or it might be an average per a certain number of games.
To calculate the mean and standard deviation, we typically need individual data points (i.e., shooting percentages for each game). If you happen to have these details, please share them.
If Patrice's "364" represents a combined total or already a mean of 10 game percentages, I can guide you on how to calculate the standard deviation using individual percentages if available. If not, we may need to interpret the data a bit differently. Let me know how you'd like to proceed!
\textbf{user:} I uploaded an image and extracted the following:
\begin{verbatim} * Text: coach examines the field goal stats for five guards on the bench in the last \begin{tabular}{|l|l|l|l|l|l|l|l|l|l|l|} \hline Player & \multicolumn{1}{|c|}{ Field Goal Percent in Last 10 Basketball Games } \\ \hline Anna & 36 & 41 & 43 & 39 & 45 & 27 & 40 & 37 & 31 & 28 \\ \hline Patrice & 36 & 39 & 36 & 38 & 35 & 37 & 35 & 36 & 38 & 34 \\ \hline Morgan & 34 & 41 & 38 & 37 & 48 & 19 & 33 & 43 & 21 & 44 \\ \hline Paige & 34 & 35 & 33 & 35 & 33 & 34 & 33 & 35 & 34 & 33 \\ \hline Star & 41 & 33 & 39 & 36 & 38 & 36 & 29 & 34 & 38 & 39 \\ \hline \end{tabular} \end{verbatim}
Based on the extracted text and the dialogue transcript, please rewrite the math problem that the Assistant is helping the user to solve. Rewrite it in LaTeX. Do not omit any portion of the original problem. When you have finished writing the problem, type the special keyword:

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Problem 4150

Name: \qquad Due Date: \qquad 1) An assembly line produces plastic piggybanks that are either pink or blue. On average, 2.4%2.4 \% of the banks contain defects. Of the banks with no defects, 15%15 \% were blue. The percentage of all banks produced that are perfect pink piggybanks is a) 82.6 b) 82.96 c) 85 d) 87.4 e) 95.2

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Problem 4151

Use the results from a survey of a simple random sample of 1130 adults. Among the 1130 respondents, 59%59 \% rated themselves as above average drivers. We want to test the claim that 1120\frac{11}{20} of adults rate themselves as above average drivers. Complete parts (a) through (c). a. Identify the actual number of respondents who rated themselves as above average drivers. \square (Round to the nearest whole number as needed.)

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Problem 4152

A researcher randomly purchases several different kits of a popular building toy. The following table shows the number of pieces in each kit in the sample. Find the median of the data. \begin{tabular}{|c|c|} \hline \multicolumn{2}{|c|}{\begin{tabular}{c} Building \\ Toy Pieces \end{tabular}} \\ \hline 185 & 70 \\ \hline 290 & 375 \\ \hline 375 & 70 \\ \hline 129 & 321 \\ \hline 290 & 134 \\ \hline 195 & 233 \\ \hline \end{tabular}
Copy Data
Answer BETA KeypI Keyboard Short

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Problem 4153

The scores from the final exam in an English 101 course are given in the box plot. What was the range of scores?

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Problem 4154

Use the results from a survey of a simple random sample of 1142 adults. Among the 1142 respondents, 69%69 \% rated themselves as above average drivers. We want to test the claim that more than 1320\frac{13}{20} of adults rate themselves as above average drivers. Complete parts (a) through (e). A. This statement seems to suggest that with a low P-value, the null hypothesis has been proven or is supported, but this conclusion cannot be made. B. This statement seems to suggest that with a high P-value, the null hypothesis has been proven or is supported, but this conclusion cannot be made. C. This statement seems to suggest that with a high PP-value, the alternative hypothesis has been proven or is supported, but this conclusion cannot be made. D. This statement seems to suggest that with a high P-value, the alternative hypothesis has been rejected, but this conclusion cannot be made. e. Common significance levels are 0.01 and 0.05 . Why would it be unwise to use a significance level with a number like 0.0432 ? A. A significance level with more than 2 decimal places has no meaning. B. Choosing a more specific significance level makes it more difficult to reject the null hypothesis. C. Using a significance level to more decimal places makes calculations of P -values more difficult. D. Choosing such a specific significance level could give the impression that the significance level was carefully chosen to reach a desired conclusion.

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Problem 4155

The table shows information about three stars. All of the stars have similar actual brightnes \begin{tabular}{|l|c|} \hline Name of star & Distance from Earth (in light-years) \\ \hline 18 Scorpii & 46 \\ \hline Sun & 0.000016 \\ \hline Kepler-452 & 1,400 \\ \hline \end{tabular}
Order the stars by how bright they look from Earth. looks dimmest from Earth
Sun
Kepler-452
18 Scorpif looks brightest from Earth

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Problem 4156

The numbers of students in the 9 schools in a district are given below. (Note that these are already ordered from least to greatest.) 212,288,290,292,301,325,333,334,388212,288,290,292,301,325,333,334,388 Send data to calculator
Suppose that the number 212 from this list changes to 329 . Answer the following. \begin{tabular}{|c|c|} \hline (a) What happens to the mean? & It decreases by \square It increases by \square It stays the same. \\ \hline (b) What happens to the median? & It decreases by \square It increases by \square It stays the same. \\ \hline \end{tabular}

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Problem 4157

Scores on a test have a mean of 76 and a standard deviation of 13 . Calvin has a score of 62 . Convert Calvin's score to a zz-score, rounded to the nearest hundredth.

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Problem 4158

Suppose that shoe sizes of American women have a bell-shaped distribution with a mean of 8.19 and a standard deviation of 1.49 . Using the empirical rule, what percentage of American women have shoe sizes that are no more than 11.17 ? Please do not round your answer.

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Problem 4159

\begin{tabular}{lllll} \hline Time & Oral & Intravenous & Urine & Stool \\ \hline 0800 & 360 ml & & \\ \hline 0900 & 120 ml & 250 ml & 400 ml & 1 \\ \hline 1100 & 120 ml & & \\ \hline 1200 & 240 ml & & \\ \hline 1300 & & 150 ml & \\ \hline 1400 & 120 ml & & \\ \hline 1500 & & & \\ \hline \end{tabular}
The nurse calculates the client's intake and output for the shift (above). Calculate the client's fluid balance, in milliliters, for the 8 -hour shift. Record your answer using a whole number. 410410

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Problem 4160

Part 4 of 4
Soon after the euro was introduced as a currency in Europe, it was widely reported that someone had spun a euro coin 250 times and gotten he coin. Complete parts a) through c) below. a) Estimate the true proportion of.heads. Use a 90%90 \% confidence interval. Don't forget to check the conditions first.
Are the conditions satisfied? A. The 10%10 \% Condition and the Success/Failure Condition are both met. The Randomization Condition is not met. B. The Randomization Condition and the 10%10 \% Condition are both met. The Success/Failure Condition is not met. C. The Randomization Condition and the Success/Failure Condition are both met. The 10%10 \% Condition is not met. D. The Independence Assumption is not plausible. The 10%10 \% Condition is not met. E. The Randomization Condition is met. Neither the 10%10 \% Condition nor the Success/Failure Condition are met. F. All necessary assumptions and conditions are met.
The 90\% confidence interval is ( 0.468,0.5720.468,0.572 ). (Use ascending order. Round to three decimal places as needed.) b) Does your confidence interval provide evidence that the coin is unfair when spun? Explain.
Since 0.50 is \square within the interval, there \square evidence that the coin is unfair when spun. c) What is the significance level of this test? Explain.
The significance level is α=\alpha= \square . The test is a(n) \square test based on the 90\% confidence interval above. (Type an integer or a decimal.)

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Problem 4161

A certain species of animal has a 13\frac{1}{3} probability of any one offspring being male and a 23\frac{2}{3} probability of any one offspring being female. Fill in the remaining probabilities on the tree diagram and use that information to find the probability that an adult female of the species produces three offspring that are all females, given that the first is a female.
Choose the correct tree below. A. example Get more help - Final check

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Problem 4162

To earn the score he wants in a trivia game, Jet needs an average of, 80%80 \% after five rounds. Each round is worth 50 points. The scores of his first four rounds are shown in the table. If there is one more round, What is the minimum score he can receive to earn at least an 80%80 \% average in the trivia game? \begin{tabular}{|c|c|} \hline Round & Score \\ \hline 1 & 4946\frac{49}{46} \\ \hline 2 & 4644\frac{46}{44} \\ \hline 3 & 4545\frac{45}{45} \\ \hline 4 & 5 \\ \hline \end{tabular}

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Problem 4163

The table below shows the energy of a 10 kg ball as a function of velocity. How much energy will the ball have at 10 m/s10 \mathrm{~m} / \mathrm{s} ? (Type the number, do not include units in your answer)
Use a matrix to run a quadratic regression \begin{tabular}{|c|c|} \hline Velocity (m/s) & Energy (Joules) \\ \hline 0 & 0 \\ \hline 2 & 12 \\ \hline 3 & 27 \\ \hline 6 & 108 \\ \hline 10 & ?? \\ \hline \end{tabular}

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Problem 4164

The median of the values 24,9,2,12,1924,9,-2,12,19 is the number 11 . True False

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Problem 4165

A z-score for an observation above +3 implies the value is in the extreme left tail of the distribution. True False

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Problem 4166

Which of the following statements about correlation is true?
Choose the correct answer below. A. We say that there is a negative correlation between xx and yy if the xx-values increase as the corresponding yy-values increase. B. We say that there is a positive correlation between xx and yy if the xx-values increase as the corresponding yy-values increase. C. We say that there is a positive correlation between xx and yy if there is no distinct pattern in the scatterplot. D. We say that there is a positive correlation between xx and yy if the xx-values increase as the corresponding yy-values decrease.

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Problem 4167

In a random sample of 8 people, the mean commute time to work was 34.5 minutes and the standard deviation was 7.2 minutes. A 95%95 \% confidence interval using the tt-distribution was calculated to be ( 28.5 .40 .5 ). After researching commute times to work, it was found that the population standard deviation is 9.3 minutes. Find the margin of error and construct a 95%95 \% confidence interval using the standard nomal distribution with the appropriate calculations for a standard deviation that is known. Compare the results.
The margin of error of μ\mu is \square (Round to two decimal places as needed.)

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Problem 4168

16 The age of a tree and the height of the tree. 4)\left.\square_{4}\right) (5 Points) Positive Negative None

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Problem 4169

12.1 HW Part 3 of 5 Points: 0 of 1
The data from car crash tests for four different vehicle size categories (Small, Midsize, Large, and SUV) with measured amounts of left leg femur force (kN) results in the following Minitab display. Using a 0.05 significance level, test the claim that the four vehicle size categories have the same mean force on the femur of the left leg. Does size of the car appear to have an effect on the force on the left femur in crash tests?
Determine the null hypothesis. H0:μ1=μ2=μ3=μ4H_{0}: \mu_{1}=\mu_{2}=\mu_{3}=\mu_{4}
Determine the alternative hypothesis. H1H_{1} : At least one of the means is different from the others Determine the test statistic. The test statistic is \square (Round to two decimal places as needed.) Clear all Check answer

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Problem 4170

12.1 HW Question 28, 12.1.9-T Part 3 of 6 Points: 0.25 of 1
Pages were randomly selected from one book each from authors A, B, and C. The accompanying table shows the ease-of-reading scores for those pages. Use a 0.05 significance level to test the claim that pages from books by those three authors have the same mean ease-of-reading score. Given that higher scores correspond to text that is easier to read, which author appears to be different, and how is that author different?
Click the icon to view the data table of the ease-of-reading scores.
Determine the null hypothesis. H0:μ1=μ2=μ3H_{0}: \mu_{1}=\mu_{2}=\mu_{3}
Determine the alternative hypothesis. H1H_{1} : At least one of the means is different from the others Determine the test statistic. The test statistic is \square \square. (Round to two decimal places as needed.)
Ease-of-Reading Scores \begin{tabular}{|l|l|l|l|l|l|l|l|l|l|} \hline A & 58.9 & 73.8 & 73.7 & 64.1 & 72.3 & 89.1 & 43.1 & 76.4 & 76.6 \\ \hline B & 85.9 & 84.4 & 79.3 & 82.2 & 80.2 & 84.5 & 79.1 & 70.5 & 78.1 \\ \hline C & 69.2 & 64.2 & 71.4 & 71.2 & 68.4 & 51.1 & 72.2 & 74.4 & 52.3 \\ \hline \end{tabular}
Print Done

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Problem 4171

Consider the topic of correlation introduced in Section 11.1 and then respond to the scenario and questions below. As part of your response, please explain what correlation is and why two variables might be described as having a negative correlation.
Age and education: A survey of U.S. adults showed that there is a negative correlation between age and education level. Does this mean that people become less educated as they become older? Why or why not?
Please respond using complete sentences. Your first post must include your response to the items above, but you are welcome to post additional thoughts after reading the responses of your classmates (worth 70 points). You should also respond to the postings of at least two of your classmates (worth 30 points total). When responding to classmates, use something from their post to comment on. Generic responses such as "good job" or "l agree with your post" are not worth full credit.

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Problem 4172

Question 9 of 10 (i) point) I Question Attempt 2 of Unilmied
Fast reactions: In a study of reaction times, the time to respond to a visual stimulus (x)(x) and the time to respond to an auditory stimulus ( yy ) were recorded for each of 8 subjects. Times were measured in thousandths of a second. The results are presented in the following table. \begin{tabular}{cc} \hline Visual & Auditory \\ \hline 191 & 169 \\ 203 & 206 \\ 201 & 197 \\ 188 & 193 \\ 228 & 209 \\ 161 & 159 \\ 176 & 163 \\ 178 & 201 \\ \hline \end{tabular} Send data to Excel
The least-squares regression line y^=b0+b1x=46.9658+0.7348x\hat{y}=b_{0}+b_{1} x=46.9658+0.7348 x and Σ(xxˉ)2=2915.5000\Sigma(x-\bar{x})^{2}=2915.5000 are known for this data. Construct a 95%95 \% confidence interval for the slope. Round the answers to at least four decimal places.

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Problem 4173

Question 9 of 10 (1 point) I Question Attempt 3 of Unlimited
Fast reactions: In a study of reaction times, the time to respond to a visual stimulus (x)(x) and the time to respond to an auditory stimulus ( yy ) were recorded for each of 7 subjects. Times were measured in thousandths of a second. The results are presented in the following table. \begin{tabular}{cc} \hline Visual & Auditory \\ \hline 161 & 159 \\ 176 & 163 \\ 178 & 201 \\ 188 & 193 \\ 201 & 197 \\ 203 & 206 \\ 211 & 189 \\ \hline \end{tabular} Send data to Excel
The least-squares regression line y^=b0+b1x=51.2341+0.7203x\hat{y}=b_{0}+b_{1} x=51.2341+0.7203 x and Σ(xxˉ)2=1895.4286\Sigma(x-\bar{x})^{2}=1895.4286 are known for this data. Construct a 95%95 \% confidence interval for the slope. Round the answers to at least four decimal places.
The 95%95 \% confidence interval is \square <β1<<\beta_{1}< \square 1. Save For Later Submit Assig

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Problem 4174

BSAD/MATH 2170 Applied Statistics - Marquis (1) Haley Stone Homework: 10.1 Correlation Question 6, 10.1.1 HW Score: 37.88%,8.3337.88 \%, 8.33 of 22 points Part 2 of 3 Points: 0.33 of 1 Save
Question list
Media 3
Question 1
Question 2
Question 3
Question 4
Question 5
Twenty different statistics students are randomly selected. For each of them, their body temperature (C)\left({ }^{\circ} \mathrm{C}\right) is measured and their head circumference (cm)(\mathrm{cm}) is measured. a. For this sample of paired data, what does r represent, and what does ρ\rho represent? b. Without doing any research or calculations, estimate the value of rr. c. Does r change if body temperatures are converted to Fahrenheit degrees? A. rr is a statistic that represents the proportion of the variation in head circumference that can be explained by variation in body temperature, and ρ\rho is a parameter that represents the value of the linear correlation coefficient that would be computed by using all of the paired data in the population of all statistics students. B. rr is a statistic that represents the value of the linear correlation coefficient computed from the paired sample data, and ρ\rho is a parameter that represents the value of the linear correlation coefficient that would be computed by using all of the paired data in the population of all statistics students. C. rr is a statistic that represents the value of the linear correlation coefficient computed from the paired sample data, and ρ\rho is a parameter that represents the proportion of the variation in head circumference that can be explained by variation in body temperature. D. rr is a parameter that represents the value of the linear correlation coefficient that would be computed by using all of the paired data in the population of all statistics students, and ρ\rho is a statistic that represents the value of the linear correlation coefficient computed from the paired sample data. b. Select the correct choice below and fill in the answer box to complete your choice. (Type an integer or a decimal rounded to one decimal place as needed.) The value of rr is estimated to be \square because it is likely that body temperature and head circumference are strongly positively correlated. B. The value of rr is estimated to be \square , because it is likely that body temperature and head circumference are strongly negatively correlated. C. The value of rr is estimated to be \square , because it is likely that there is no correlation between body temperature and head circumference. x/x / Question 6

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Problem 4175

2. Miguel is comparing the probabilities of two spinners. Select all the true statements that Miguel made. (A) Spinner AA is twice as likely to land on 1 as spinner BB is. (B) The probability that spinner BB lands on an odd number is 12\frac{1}{2}. (c) The probability that spinner AA lands on 2 is 14\frac{1}{4}. (1)
Spinner AA is not a fair spinner. Spinner AA and spinner BB are equally likely to land on an odd number.

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Problem 4176

Final Exam Practice Question 9 of 25 (1 point) I Question Attempt: 2 of Unlimited \begin{tabular}{cc} \hline Dozen Eggs & Gallon of Milk \\ \hline 1.96 & 3.47 \\ 1.69 & 3.47 \\ 2.01 & 3.52 \\ 1.94 & 3.58 \\ 1.77 & 3.43 \\ 1.65 & 3.50 \\ 1.89 & 3.54 \\ 1.88 & 3.58 \\ \hline \end{tabular}
Send data to Excel
Part: 0/40 / 4
Part 1 of 4 (a) Construct a scatter plot of the price of milk (y)(y) versus the price of eggs (x)(x). Save For Later Submit A Skip Part Recheck 02024 Mc Graw HIIILC All Rohts Resened. Terms of Use I Fhwag Cente

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Problem 4177

Find the mean of the given frequency distribution and create a relative frequency histogram. Class intervals and frequencies are: 0-5 (146), 5-10 (178), 10-15 (217), 15-20 (223), 20-25 (198), 25-30 (140), 30-35 (80).

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Problem 4178

Given frequency distributions for XX and YY, create histograms, find relative frequencies, and compare averages.

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Problem 4179

Find the bubble production rate at 40 cm distance from light, based on the pattern in the data:
Distance (cm): 10, 20, 30, 40, 50 Rates (bubbles/min): 40, 20, 10, *, 3.

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Problem 4180

Find the sample mean given distances from the mean: total below is 5 points and above is 7 points.

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Problem 4181

Find the average rate of change of Company B's stock price from January (28)toApril(28) to April (22). Round to the nearest cent.

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Problem 4182

Given N=6N = 6 scores with mean M=4M = 4, find total distances above and below the mean for the scores provided.

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Problem 4183

Which substance has the highest carbon-to-nitrogen ratio: fruit waste (35:135:1), vegetable waste (1225:112-25:1), paper (170200:1170-200:1), or sawdust (200500:1200-500:1)?

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Problem 4184

Find the zz-score for a person who spent \$710, given an average cost of \$890 and a standard deviation of \$250.

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Problem 4185

Find Jenna's score value if she got 85, and Jacob's z-score if he got 65, given average 78 and SD 7.

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Problem 4186

Find the amount spent if the zz score is 1.2, average is \$890, and standard deviation is \$250.

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Problem 4187

Calculate the weighted mean depression levels: Group 1 μ1=15\mu_{1}=15, Group 2 μ2=11\mu_{2}=11. Then for alcohol: Group 1 μ1=16\mu_{1}=16, Group 2 μ2=18\mu_{2}=18. Round to one decimal place. μ=\mu=

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Problem 4188

What score did Jackie get if her zz-score is 1.14, given the test average is 78%78\% and standard deviation is 7?

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Problem 4189

Find the zz score for a classmate who is 67 inches tall, given an average height of 63 inches and a standard deviation of 5.

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Problem 4190

Estimate uncollectible receivables for a Physical Therapy Center, record the adjustment, and calculate net accounts receivable.

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Problem 4191

Ascension Hospital's A/R is \$64,000, with an allowance of \$1,400. Estimate uncollectibles, record the adjustment, and find net A/R.

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Problem 4192

What is the effective buffering range for acetic acid with a pKa of 4.76?

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Problem 4193

Check if the beetle population doubles weekly and complete the table:
xx (weeks): 0, 1, 2, 3, 4; yy (beetles): 2, 4, 9, 17, 33, ?

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Problem 4194

Find the food cost percentage for the month given costs of \$13,500 and sales of \$41,411.

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Problem 4195

Find the mean number of whales spotted given the frequencies: 8 (2), 9 (1), 10 (2), 11 (2), 12 (4), 13 (2), 14 (3), 15 (3).

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Problem 4196

Estimate the mean number of eagles spotted from the intervals 363-6 (13), 7107-10 (21), 111411-14 (6), rounded to 1 decimal place.

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Problem 4197

Find the mean of these pepperoni slices: 7, 12, 10, 7, 17, 7, 15, 13. Answer: mean = \square slices.

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Problem 4198

Determine the mode of these safety pin counts: 14, 15, 15, 15, 5, 18, 15, 12, 5. Answer: mode = \square safety pins.

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Problem 4199

Find the median of these amounts spent at a cheese shop: 32,19,21,16,27,1532, 19, 21, 16, 27, 15. Provide your answer below:

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Problem 4200

Find the median of the data set: 7,26,7,9,11,4,15,227, 26, 7, 9, 11, 4, 15, 22. Provide your answer below: median=

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