A historian finds marriage records (1800-1820) showing an average age of 26.1 years. Answer the following:
a. What is the descriptive summary?
b. What is the inference about the population?
c. What population does this refer to?
d. Is 26.1 a statistic or a parameter?
Determine the missing proportions and percentages for Verbal SAT score intervals given the frequencies: 700−799: 17, 600−699: 22, 500−599: 15, 400−499: 4, 300−399: 2.
|The following bivariate data set contains an outlier.
\begin{tabular}{|r|r|}
\hline \multicolumn{1}{|c|}{x} & \multicolumn{1}{c|}{y} \\
\hline 17.7 & 345.8 \\
\hline 23.1 & -180.9 \\
\hline 31 & -615.6 \\
\hline-7.7 & 164.1 \\
\hline 47.6 & 304.4 \\
\hline 11.2 & 106 \\
\hline 22.1 & -362.4 \\
\hline 1.7 & -100.7 \\
\hline 32.9 & -296.7 \\
\hline 52.9 & 307.9 \\
\hline 37.8 & -902.3 \\
\hline 22.9 & -530.8 \\
\hline 48.6 & 420 \\
\hline 48.7 & -75.1 \\
\hline 234.7 & 4386.9 \\
\hline
\end{tabular} What is the correlation coefficient with the outlier?
rw=□ [Round your answer to three decimal places.] What is the correlation coefficient without the outlier?
rwo=□ [Round your answer to three decimal plades.] Would inclusion of the outlier change the evidence for or against a linear correlation?
Yes. Including the outlier changes the evidence regarding a linear correlation.
No. Including the outlier does not change the evidence regarding a linear correlation.
A research study was conducted about gender differences in "sexting." The researcher belleved that the proportion of girls involved in "sexting" is less than the proportion of boys involved. The data collected in the spring of 2010 among a random sample of middle and high school students in a large school district in the southern United States is out of 2231 males, 183 particpated in sexting. Out of 2169, 156 particpated. Is the proportion of girls sending sexts less than the proportion of boys "sexting?" Test at a 1\% level of significance.
a) If we use B to denote the boys and G to denote the girls, identify the correct alternative hypothesis.
H1:pB=pGH1:pB<pGH1:pB>pG
b) Determine the test statistic. Round to two decimals.
z=⋅□
c) Find the phalue and round to 4 decimals.
p=□
d) Make a decision.
Reject the null hypothesis
Fail to reject the null hypothesis
e) Write the conclusion.
There is sufficient evidence to support the claim that the proportion of girls who sext is less than boys.
There is not sufficient evidence to support the claim that the proportion of girls who sext is less than boys.
Justify your answer. 3. The table shows the average monthly high temperature for one year in Kapuskasing, Ontario.
\begin{tabular}{|l|c|c|c|c|c|c|c|c|c|c|c|c|}
\hline Iime (months) & J & F & M & A & M & J & J & A & S & O & N & D \\
\hline Temperature (∘C) & -18.6 & -16.3 & -9.1 & 0.4 & 8.5 & 13.8 & 17.0 & 15.4 & 10.3 & 4.4 & -4.3 & -14.8 \\
\hline
\end{tabular}
a) Let January be month 0 . Draw a graph of the data and write an equation for your model.
b) Use your equation to calculate the average monthly temperature for August the following year.
10. There are a number of blue marbles and a number of green marbles in a bag. Nirmala is told that the odds against selecting a blue marble from the bag are 4:7. Which of the following describes the number of blue marbles in the bag?
A. 4
B. 7
C. 11
point(S) possible A certain drug is used to treat asthma. In a clinical trial of the drug, 25 of 297 treated subjects experienced headaches (based on data from the manufacturer). The accompanying calculator display shows results from a test of the claim that less than 10% of treated subjects experienced headaches. Use the normal distribution as an approximation to the binomial distribution and assume a 0.05 significance level to complete parts (a) through (e) below.
1-Prop2Test prop <0.1z=−0.909072203p=0.1816560071p^=0.0841750842n=297
a. Is the test two-tailed, left-tailed, or right-tailed?
Left-tailed test
Right tailed test
Two-tailed test
b. What is the test statistic?
z=□
(Round to two decimal places as needed.)
Scott has scored 25,23 , and 30 points in his three basketball games so far. How many points does he need to score in his next game so that his average (mean) is 25 points per game?
(7) points
A chi-square distribution with 4 degrees of freedom is graphed below. The region under the curve to the right of 9 is shaded. Find the area of the shaded region. Round your answer to three decimal places.
□
A survey of 499 workers included the question "In your opinion, is it OK for a company to monitor its employees' Internet use?" The possible responses were: (1) Only after informing the employees, (2) Does not need to inform the employees, (3) Only when company believes an employee is misusing the Internet, (4) Company does not have the right, and (5) Only if an employee has previously misused the Internet. The table below contains the results for the respondents. Complete parts a through c below.
\begin{tabular}{lrrrrr}
\hline Response & 1 & 2 & 3 & 4 & 5 \\
Number of Respondents & 165 & 209 & 100 & 9 & 16 \\
\hline
\end{tabular}
a. Calculate the probability that a randomly chosen respondent would indicate that there should be some restriction concerning the company's right to monitor Internet use.
PYC ALEKS
A ALEKs - Keyah Jackson - Learn
FSC Grades for Keyah Jackson: Fall-2248-ISM401
Confidence Intervals and Hypothesis Testing
Introduction to the chi-square distribution A chi-square distribution with 8 degrees of freedom is graphed below. The region under the curve to the right of 6 is shaded. Find the area of the shaded region. Round your answer to three decimal places.
□
Explanation
Check
Question 4
1 pts According to a 2017 AAA survey, 35\% of Americans planned to take a family vacation-defined as a trip more than 50 miles from home involving two or more immediate family members. Assume this represents all Americans. Now, suppose a recent survey of 300 Americans found that 123 planned to take a family vacation. To compute an empirical p-value, the first step is
to sample without replacement from the survey data.
to sample with replacement from the survey data.
to sample from a binomial distribution with n=300 and p=0.35.
to sample from a binomial distribution with n=300 and p=0.5.
Fill in the blank so that the resulting statement is true.
A data value that occurs most often in a data set is the measure of central tendency called the . A data value that occurs most often in a data set is the measure of central tendency called the □
The numbers of students in the 7 schools in a district are given below.
(Note that these are already ordered from least to greatest.)
193,222,264,310,339,363,381 Send data to calculator Suppose that the number 193 from this list changes to 361. Answer the following.
(a) What happens to the median?
It decreases by □
It increases by □ (b) What happens to the mean? It stays the same.
9:53PM Wed Nov 27
34\%
webassign.net Application Exercise:
Interests, attitudes, and beliefs are important in interpersonal attraction. To investigate, a counseling psychologist develops a questionnaire that measures progressive attitudes, and has married couples take the questionnaire. The psychologist is certain that progressive attitudes are related between couples. The couple's attitude data are below. What can be concluded with an α of 0.05 ?
\begin{tabular}{|c|c|}
\hline husband & wife \\
\hline 6 & 12 \\
10 & 7 \\
14 & 3 \\
12 & 5 \\
9 & 9 \\
8 & 11 \\
9 & 6 \\
10 & 4 \\
11 & 2 \\
8 & 17 \\
7 & 13 \\
\hline
\end{tabular}
a) Select and compute the appropriate statistic. Correlation □
b) Obtain/compute the appropriate values to make a decision about H0. Critical Value □ Test Statistic =□
Decision: --Sel Enter a number.
c) Compute the corresponding effect size(s) and indicate magnitude(s). If not appropriate, input and/or select "na" below.
Effect Size = □ ; Magnitude: ---Select---
d) Make an interpretation based on the results.
There is a significant positive relationship between a husband and wife progressive attitudes.
There is a significant negative relationship between a husband and wife progressive attitudes.
There is no significant relationshin between a husband and wife proaressive attitudes.
Submit Answer
Viewing Saved Work Revert to Last Response.
The
I'm
Listed in the accompanying table are waiting times (seconds) of observed cars at a Delaware inspection station. The data from two waiting lines are real observations, and the data from the single waiting line are modeled from those real observations. Assume that the two samples are independent simple random samples selected from normally distributed populations, and do not assume that the population standard deviations are equal. Complete parts (a) and (b). Click the icon to view the waiting times.
are the null and alternative hypotheses?
A. H0:μ1<μ2H1:μ1=μ2
C. H0:μ1=μ2H1:μ1=μ2 Calculate the test statistic.
t=□ (Round to two decimal places as need
Waiting Times
\begin{tabular}{|cc|cc|}
\hline \multicolumn{2}{c|}{ One Line } & \multicolumn{2}{c|}{ Two Lines } \\
\hline 63.5 & 734.1 & 64.2 & 864.6 \\
156.5 & 606.2 & 215.8 & 1089.7 \\
141.8 & 268.4 & 85.7 & 662.6 \\
278.9 & 310.2 & 339.8 & 517.8 \\
252.5 & 128.6 & 199.7 & 565.9 \\
476.1 & 132.7 & 629.5 & 268.1 \\
477.6 & 121.7 & 332.6 & 349.7 \\
473.6 & 128.7 & 328.6 & 94.6 \\
401.5 & 233.1 & 914.7 & 99.9 \\
722.3 & 460.9 & 553.3 & 162.8 \\
760.7 & 482.1 & 596.8 & 100.5 \\
691.9 & 518.1 & & \\
837.2 & 508.9 & & \\
902.7 & 579.6 & & \\
& & & \\
\hline
\end{tabular}
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Coggle Drive Started: Nov 28 at 11:17am
Quiz Instructions Question 1
2 pts Find f0.95 for each of the following degrees of freedom.
Write out your answers precise to two decimal places, e.g., 1.35, 0.67, 3.82. 1. ν1=df1=6,ν2=df2=6□ 2. ν1=df1=6 and ν2=df2=12□ 3. ν1=df1=12 and ν2=df2=30□
(3) Que
(3) Que
(3) Que
(3)
Que
(3)
Que
Time Runnin
Attempt due: N
1 Hour, 59 N
RO ALEKS
A
ALEKS -
Keyan
a nurse manager at a local hospital, wanted to know more about the hospital's full-time nurses. She polled 20 nurses at random who work full-time at the 5 of them are married. Elsa didn't know that the top hospital administrators had already surveyed all nurses who work full-time at the hospital. In that vey, it was found that the nurses take, on average, 7.2 sick days per year, that 59% of them would prefer a four-day work schedule, and that 72 of them are irried.
(a) For Elsa's poll, identify the population and the sample. Population: (Choose one) □ Sample: (Choose one) □
(b) Choose whether each number described below is a parameter or a statistic for Elsa's poll.
\begin{tabular}{|l|l|l|l|}
\hline Number & Parameter & Statistic \\
\hline The 65% of the randomly chosen nurses who prefer a four-day work schedule & & \\
\hline The average of 7.2 sick days per year taken among all the full-time nurses at the hospital & & \\
\hline The 72 nurses who are married among all the full-time nurses at the hospital & & \\
\hline
\end{tabular}
The table lists the average tuition and fees at private colleges and universities for selected years.
\begin{tabular}{|c|c|c|c|c|c|}
\hline Year & 1985 & 1990 & 1995 & 2000 & 2008 \\
\hline \begin{tabular}{c}
Tuition and \\
Fees \\
(in dollars)
\end{tabular} & 5328 & 9369 & 12,336 & 16,154 & 25,111 \\
\hline
\end{tabular}
(a) Find the equation of the least-squares regression line that models the data.
y≈□
(Type the slope as a decimal rounded to three decimal places. Round the y-intercept to the nearest integer.)
The table lists the average tuition and fees at private colleges and universities for selected years.
\begin{tabular}{|c|c|c|c|c|c|}
\hline Year & 1985 & 1990 & 1995 & 2000 & 2008 \\
\hline \begin{tabular}{c}
Tuition and \\
Fees \\
(in dollars)
\end{tabular} & 5360 & 9309 & 12,339 & 16,183 & 25,117 \\
\hline
\end{tabular}
(a) Find the equation of the least-squares regression line that models the data.
y≈□
(Type the slope as a decimal rounded to three decimal places. Round the y-intercept to the nearest integer.)
The table lists the average monthly cost to workers for family health insurance for various years.
a) Use a graphing calculator to fit a regression line to the data.
b) Predict the average monthly cost to workers for family health insurance in 2016, and compare the value with $422.02, which is obtained using the points (1,334) and (4,378).
c) Find the correlation coefficient for the regression line, and determine whether the line fits the data closely.
\begin{tabular}{|c|c|}
\hline Year, x & \begin{tabular}{c}
Average Monthly Cost to Workers for Family \\
Health Insurance
\end{tabular} \\
\hline 2009,0 & $292 \\
\hline 2010,1 & 334 \\
\hline 2011,2 & 345 \\
\hline 2012,3 & 358 \\
\hline 2013,4 & 378 \\
\hline 2014,5 & 401 \\
\hline
\end{tabular}
a) The linear equation of the regression line that best models the data is y=□x+□
(Round to the nearest hundredth as needed.)
Here are three histograms.
(a) Which histogram is best described as bimodal? Histogram A Histogram B
(b) Which histogram is the closest to being symmetric?
Histogram A Histogram B
□
(c) Which histogram Histogram C Histogram A Histogram B Histogram C
(d) Which histogram is skewed to the left the most?
Histogram A Histogram B
Explanation
Histogram C
The effectiveness of a blood-pressure drug is being investigated. An experimenter finds that, on average, the reduction in systolic blood pressure is 64.4 for a sample of size 26 and standard deviation 19.4. Estimate how much the drug will lower a typical patient's systolic blood pressure (using a 95% confidence level). Assume the data is from a normally distributed population.
Enter your answer as a tri-linear inequality accurate to three decimal places.
□<μ<□
Assume that a sample is used to estimate a population mean μ. Find the 80% confidence interval for a sample of size 41 with a mean of 38.5 and a standard deviation of 18.5. Enter your answer as an openinterval (i.e., parentheses) accurate to 3 decimal places. 80\% C.I. = □
The answer should be obtained without any preliminary rounding.
Suppose the average US salary is $41,000. If a sample of 50 people are randomly surveyed then there is a 95% chance that the 95% confidence interval for the mean US salary will have a lower bound less than 41,000 and an upper bound greater than 41,000.
True
False
A political candidate has asked you to conduct a poll to determine what percentage of people support her. From a random sample of 500, 324 said they would support the candidate. A 95% confidence interval is constructed.
a) In words, define the random variable XX is the proportion of people from the sample who support the candidate
X is the number of people from the sample who support the candidate
X is the number of people from the population who support the candidate
b) In words, define the random variable P^P^ is the proportion of people from the population who support the candidate
P^ is the proportion of people from the sample who support the candidate
P^ is the number of people from the sample who support the candidate
A project requires an initial investment of $300,000. It is expected to produce after-tax cash flows of $100,000 in the first year. The after-tax cashflows are expected to increase by $10,000 annually reaching $140,000 in year 5 when the project will be scrapped. What is the project's NPV if discount rate is 12% ? Multiple Choice
\153,855$141,471$133,584\107,425$124,448
12.1 HW
Question 5, 10.1.9
HW Score: 6.9%,2 of 29 points
Part 2 of 6
Points: 0 of 1
Save Refer to the accompanying scatterplot. a. Examine the pattern of all 10 points and subjectively determine whether there appears to be a strong correlation between x and y. b. Find the value of the correlation coefficient r and determine whether there is a linear correlation. c. Remove the point with coordinates 10−(10,2) and find the correlation coefficient r and determine whether there is a linear correlation. d . What do you conclude about the possible effect from a single pair of values?
Click here to view a table of critical values for the correlation coefficient.
a. Do the data points appear to have a strong linear correlation?
No
Yes
b. What is the value of the correlation coefficient for all 10 data points?
r=□ (Simplify your answer. Round to three decimal places as needed.) Table of Critical Values
□
\begin{tabular}{|c|c|c|}
\hline n & α=.05 & α=.01 \\
\hline 4 & . 950 & . 990 \\
\hline 5 & . 878 & . 959 \\
\hline 6 & . 811 & . 917 \\
\hline 7 & . 754 & .875 \\
\hline 8 & . 707 & . 834 \\
\hline 9 & . 666 & . 798 \\
\hline 10 & . 632 & . 765 \\
\hline 11 & . 602 & . 735 \\
\hline 12 & . 576 & . 708 \\
\hline 13 & . 553 & . 684 \\
\hline 14 & . 532 & . 661 \\
\hline 15 & . 514 & . 641 \\
\hline 16 & . 497 & . 623 \\
\hline 17 & . 482 & . 606 \\
\hline 18 & - . 468 & . 590 \\
\hline 19 & . 456 & .575 \\
\hline 20 & . 444 & . 561 \\
\hline 25 & . 396 & .505 \\
\hline 30 & . 361 & . 463 \\
\hline 35 & . 335 & 430 \\
\hline 40 & . 312 & . 402 \\
\hline 15 & 304 & 270 \\
\hline
\end{tabular}
Get more help -
At distribution with 7 degrees of freedom is graphed below. The region under the curve to the right of t0.9 is shaded. The area of this region is 0.9 Find the value of t0.9. Round your answer to three decimal places.
t0.9=□
Enter the values of the sample size, the point estimate of the mean, the sample standard deviation, and the critical value you need for your 90% confidence interval. (Choose the correct critical value from the table of critical values provided.) When you are done, select "Compute".
\begin{tabular}{|l|l|}
\hline \begin{tabular}{l}
Sample size: \\
□
\end{tabular} & \\
\hline \begin{tabular}{l}
Point estimate: \\
□
\end{tabular} & \\
\hline \begin{tabular}{l}
Sample standard deviation: \\
□
\end{tabular} & \\
\hline \begin{tabular}{l}
Critical value: \\
□
\end{tabular} & \multicolumn{1}{|c|}{ Margin of error: } \\
\hline Compute & \\
\hline
\end{tabular}
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The heart rate of runners during a long distance race is approximately normal. The table below shows the heart rates of a random sample of 9 such runners. Find the point estimate.
116122106132126149109145134□ (round to 1 decimal place)
The number of seconds X after the minute that class ends is uniformly distributed between 0 and 60 . Round all answers to 4 decimal places where possible.
a. What is the distribution of X ? X∼U( ,
□ ) then the sampling distribution is
b. Suppose that 38 classes are clocked. What is the distribution of xˉ for this group of classes? xˉ∼N(□□
c. What is the probability that the average of 38 classes will end with the second hand between 27 and 31 seconds? □
A simple random sample from a population with a normal distribution of 102 body temperatures has xˉ=98.70∘F and s=0.69∘F. Construct an 80% confidence interval estimate of the standard deviation of body temperature of all healthy humans. Click the icon to view the table of Chi-Square critical values.
2. The mean June midday temperature in Desertville is 36∘C and the standard deviation is 3∘C Assuming this data is normally distributed, how many days in June would you expect the midday temperature to be between 39∘C and 42∘C ? What temperature can you expect in 10\% warmest days in June?
TASK 2
(a) Explain the meaning of each of the following statistical terms:
(i) Level of measurement
(02)
(ii) Level of significance
(102)
(b) The following data relate to the number of vehicles owned and road deaths for the populations of 12 countries.
(i) Compute Spearman's rank correlation coefficient.
(17) 100000 population
[D4]
(ii) Interpret the result from question b(i) above.
In which of the scenarios below would it be appropriate to use a One-way Analysis of Variance (ANOVA) method to determine whether or not there is a statistical difference among the groups? Select all that apply. Select all that apply:
You want to conduct a hypothesis test to determine if the average time a person sleeps is different from 8 hours.
You want to conduct a hypothesis test to determine if the average exam scores of a professor's morning, afternoon, and evening classes for one course are different.
You want to conduct a hypothesis test to determine if the average commute time to work is different in Boston, versus New York City, versus Los Angeles, versus Miami.
You want to conduct a hypothesis test to determine if people spend less than $150 a week on food.
The number of square feet per house have an unknown distribution with mean 1670 and standard deviation 140 square feet. A sample, with size n=48, is randomly drawn from the population and the values are added together. Using the Central Limit Theorem for Sums, what is the mean for the sample sum distribution? Provide your answer below:
□ square feet
QUESTION 5 - 1 POINT
A lottery scratch-off ticket offers the following payout amounts and respective probabilities. What is the expected payout of the game? Round your answer to the nearest cent.
\begin{tabular}{|c|c|}
\hline Probability & \begin{tabular}{c}
Payout \\
Amount
\end{tabular} \\
\hline 0.724 & $0 \\
\hline 0.225 & $10 \\
\hline 0.05 & $5,000 \\
\hline 0.001 & $20,000 \\
\hline
\end{tabular} Provide your answer below:
\\square$
FEEDBACK
QUESTION 11 - 1 POINT
Will, an art student, randomly sampled oil paintings in a museum. He wanted to find out how many oil paintings in the museum contained the color ultramarine blue. The proportion of paintings that were created using the color ultramarine blue was 0.17 , with a margin of error of 0.02 . Construct a confidence interval for the proportion of oil paintings that contained ultramarine blue. Provide your answer below:
□ , □)
QUESTION 12 - 1 POINT
The questions on a test consist of 1 multiple choice, 2 essays, and 10 free responses. If the questions are ordered randomly, what is the probability that the first question is a free response? Give your answer as a simplified fraction. Provide your answer below:
□
FEEDBACK
Three 5-L flasks, fixed with pressure gauges and small valves, each contain 6 g of gas at 271 K . Flask A contains H2, flask B contains CH4, and flask C contains He. Rank the flask contents in terms of the following: Part 1 of 6
pressure: A>C>B□ . Part 2 of 6
average molecular kinetic energy: □C>A>B J □ Part 3 of 6
diffusion rate after valve is opened: A=B=C□
Try Again
Your answer is incorrect. A company has both male and female employees. The company has shirts and jackets with the company logo to give away to employees. For each of the company's 196 employees, a manager asked which piece of clothing the employee prefers. The preferences, based on gender, are summarized in the tab below.
\begin{tabular}{|c|c|c|}
\cline { 2 - 3 } \multicolumn{1}{c|}{} & Shirt & Jacket \\
\hline Male & 34 & 88 \\
\hline Female & 8 & 66 \\
\hline
\end{tabular} Suppose an employee of the company is chosen at random.
Answer each part. Do not round intermediate computations, and round your answers to the nearest hundredth.
(If necessary, consult a list of formulas.)
(a) What is the probability that the employee prefers a jacket?
□
(b) What is the probability that the employee is female or prefers a jacket?
□
Given the following break-even analysis, Break-Even Analysis
what is the fixed cost of outsourcing production?
Between \$0 and \$100,000.
Between \$100,000 and \$300,000.
Between \$300,000 and \$800,000.
It is not possible to determine from the graph shown in the question.
The scatterplot of the data is below. Describe the type of correlation between GDP and CO2 emissions.
negative
no correlation
positive Question 2
2 pts The correlation between GDP and carbon dioxide emissions is r=0.912. Is the correlation significant at α=,05 ? Give the critical value from the table: □
Is the correlation significant? (yes or no) □
ÜbungenfürsAbitur: Binomiatverteitungen Eine Firma stellt Masken in Massenproduktion her. Jede Maske Ist mit einer Wahrscheinlichkeit von 8% fehlerhaft. Pro Tag werden 50.000 Masken produzlert. Es wird angenommen, dass die Anzahl der fehlerhaften Masken binomialverteilt sel.
a. Mit wie vielen fehlerhaften Masken muss man pro Tag rechnen?
b. Berechnen Sle die Wahrscheinlichkeit, dass pro Tag 1. höchstens 4200 fehlerhaft sind.
II. genau 4000 fehlerhaft sind.
III. zwischen 2000 und 4000 Masken fehlerhaft sind.
c. Berechnen Sle, wie hoch die Wahrscheinlichkeit ist, dass die Anzahl der fehlerhaften Masken um höchstens elne Standardabweichung vom Erwartungswert abwelcht?
d. Wie viele Masken muss man mindestens untersuchen, um mit einer Wahrscheinlichkeit von mindestens 96 Prozent mindestens eine fehlerhafte Maske zu finden?
e. Wie viele Masken muss man mindestens untersuchen, um mit einer Wahrscheinlichkeit von mindestens 96 Prozent mindestens zwel fehlerhafte Masken zu finden?
f. Ein potentieller Kảufer misstraut den Angaben des Herstellers und befürchtet, dass mehr als 8% der Masken fehlerhaft sind. Er erhált daher eine Probe von 500 Masken. Bei der Prüfung der Masken sind 50 fehlerhaft. Beurteilen Sie mithilfe der 2a-Regel, ob das Misstrauen berechtigt ist.
g. Die Firma verspricht der Produktionsleiterin einen Bonus, wenn sle die Rate auf 6% senkt. Nach Abschluss der Verbesserungsmaßnahmen wird der Produktion eine Stichprobe von 400 Masken entnommen. Wenn sich darunter höchstens 25 fehlerhafte Masken befinden, wird der Bonus gewährt. 1. Mit welcher Wahrscheinlichkeit erhält die Produktionsleiterin den Bonus, obwohl sich die Fehlerrate nicht verbessert hat?
ii. Mit welcher Wahrscheinlichkeit erhält sie keinen Bonus, obwohl der Anteil der fehlerhaften Masken auf 6% gesunken ist?
h. Eine Apotheke erhält 48 Masken. Sie nimmt aber 50 Bestellungen entgegen, weil aus Erfahrung 10\% der Bestellungen storniert werden. 1. Mit welcher Wahrscheinlichkeit wurden zu viele Buchungen angenommen?
ii. Mit welcher Wahrscheinlichkeit war sogar mehr als eine Maske übrig?
3. Se tiene una baraja de naipes de 52 cartas de la cual se extraen, simrreemplazo, 4 cartas al azar. ¿Cuál es la probabilidad de que las 4 cartas sean ases?
A) 52⋅51⋅50⋅4913⋅12⋅11⋅10
B) 52⋅51⋅50⋅494⋅3⋅2⋅1
C) 41
D) 131
Classify each bond as nonpolar covalent, polar covalent, or ionic.
\begin{tabular}{|cc}
\hline Atom & Electronegativity \\
\hline C & 2.5 \\
S & 2.5 \\
I & 2.5 \\
Cl & 3.0 \\
Se & 2.4 \\
\hline
\end{tabular} Clear A C-Se
S−Cl
ionic
C-I
Listed below are the numbers of cricket chips in 1 minute and the corresponding temperatures in ∘F. Construct a scatterplot, and find the value of the linear correlation coefficient r . Is there sufficient evidence to conclude that there is a linear correlation between the number of chirps in 1 minute and the temperature? Use a significance level of α=0.05.
\begin{tabular}{|l|c|c|c|c|c|c|c|c|}
\hline Chirps in 1 min & 889 & 1172 & 1092 & 857 & 1207 & 1027 & 958 & 919 \\
\hline Temperature ('F) & 71 & 92.2 & 83.6 & 75.1 & 87.8 & 81.3 & 71.1 & 79.4 \\
\hline
\end{tabular} Construct a scatterplot. Choose the correct graph below.
A.
B. Chirps in 1 min
c.
D. Chips in 1 min
\text{Listed in the accompanying table are weights (lb) of samples of the contents of cans of regular Coke and Diet Coke. Assume that the two samples are independent simple random samples selected from normally distributed populations. Do not assume that the population standard deviations are equal. Complete parts (a) to (c).} \\ \text{a. Use a 0.01 significance level to test the claim that the contents of cans of regular Coke have weights with a mean that is greater than the mean for Diet Coke.} \\ \text{What are the null and alternative hypotheses? Assume that population 1 consists of regular Coke and population 2 consists of Diet Coke.} \\ \begin{itemize}
\item \text{A. } H_{0}: \mu_{1} \leq \mu_{2} \quad H_{1}: \mu_{1}>\mu_{2}
\item \text{B. } H_{0}: \mu_{1} \neq \mu_{2} \quad H_{1}: \mu_{1}>\mu_{2}
\item \text{C. } H_{0}: \mu_{1}=\mu_{2}
\item \text{D. } H_{0}: \mu_{1}=\mu_{2} \quad H_{1}: \mu_{1}>\mu_{2}
\end{itemize} \text{The test statistic is } \square \text{ (Round to two decimal places as needed.)} \\ \text{The P-value is } \square \text{ (Round to three decimal places as needed.)} \\ \text{State the conclusion for the test.} \\ \begin{itemize}
\item \text{A. Reject the null hypothesis. There is not sufficient evidence to support the claim that cans of regular Coke have weights with a mean that is greater than the mean for Diet Coke.}
\item \text{B. Reject the null hypothesis. There is sufficient evidence to support the claim that cans of regular Coke have weights with a mean that is greater than the mean for Diet Coke.}
\item \text{C. Fail to reject the null hypothesis. There is not sufficient evidence to support the claim that cans of regular Coke have weights with a mean that is greater than the mean for Diet Coke.}
\item \text{D. Fail to reject the null hypothesis. There is sufficient evidence to support the claim that cans of regular Coke have weights with a mean that}
\end{itemize} \begin{tabular}{|c|c|c|}
\hline
& \text{Regular Coke} & \text{Diet Coke} \\
\hline
1 & 0.81922 & 0.77732 \\
\hline
2 & 0.81502 & 0.77583 \\
\hline
3 & 0.81528 & 0.78963 \\
\hline
4 & 0.8211 & 0.78681 \\
\hline
5 & 0.8181 & 0.78436 \\
\hline
6 & 0.82472 & 0.7861 \\
\hline
7 & 0.80618 & 0.78062 \\
\hline
8 & 0.81235 & 0.78302 \\
\hline
9 & 0.81715 & 0.78319 \\
\hline
10 & 0.80936 & 0.7863 \\
\hline
11 & 0.83103 & 0.78013 \\
\hline
12 & 0.83103 & \\
\hline
\end{tabular}
Reuben won a charity raffle. His prize will be randomly selected from the 9 prizes shown below. The prizes include 3 rings, 1 camera, and 5 headsets.
(a) Find the odds against Reuben winning a ring.
□
(b) Find the odds in favor of Reuben winning a ring.
□
Explanation
Check
Finding the odds in favor and against Mary won a charity raffle. Her prize will be randomly selected from the 9 prizes shown below. The prizes include 4 rings, 1 camera, and 4 headsets.
Prizes
0000
(1) (1) (1)
(a) Find the odds against Mary winning a ring.
□
(b) Find the odds in favor of Mary winning a ring.
□
Explanation
Check
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MOHAMED - 4. Box plot
/document/d/10JYuvo4Tg6n74J1Q2499ujKct3GaQf2
B7qWtyadFuY/edit?pli=18tab=t.0
x plot and Histogram analysis
Extensions Help 2. What is the median homework time?
48 3. What is the median TV time?
60 4. What is the Upper Quartile for the TV time data?
110 5. What does the upper quartile for TV time mean? The point seprates the max 25\% and the min_Q3 are 75\% 6. Some students didn't watch any TV. True, False, or Cannot be determ False becouse the TV has highest students and homework has lower students 7. The TV box-and-whisker plot contains more data than the homework gra or Cannot be determined
□
Q 35% af tho ctuidante enond hathioan 18 and an minutor nar niaht an hamal
Desk 1
Taxes - End of Chapter Problem The following tax proposal has income as the tax base. Calculate the marginal tax rate for an income of $5,000 and an income of $40,000. Then, calculate the percentage of income paid in taxes for an individual with a pre-tax income of $5,000 and for an individual with a pre-tax income of $40,000. Classify the tax as being proportional, progressive, or regressive. Round answers to two places after the decimal, where applicable. Tax Proposal: Each individual who earns more than $10,000 pays a lump sum tax of $10,000. If the individual's income is less than $10,000, that individual pays in taxes exactly what his or her income is.
a. marginal tax rate; income is $5,000 : 100
\%
marginal tax rate; income is $40,000 : □ \%
10%
\% percentage paid on an income of $40,000 :
25
\%
b. percentage paid on an income of $5,000 :
Question 1 of 9 (1 point) I Question Attempt: 1 of 1 In anticipation of an upcoming election, officials in Rising Falls County are looking at the distance from each voter's home to that voter's nearest polling station. Assume that the population of all such distances for voters in Rising Falls County is approximately normally distributed. An article for the newspaper Keeping It Political daimed that the mean of this population is 2.15 km . You want to test this claim, so you select a random sample of 16 Rising Falls County voters, and for each you record the distance the voter lives from their nearest polling station.
Follow the steps below to construct a 99% confidence interval for the population mean of all the distances voters in Rising Falls County live from their nearest polling station. Then state whether the confidence interval you construct contradicts the reporter's claim. (If necessary, consult a list of formulas.)
(a) Click on "Take Sample" to see the results for your random sample.
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\begin{tabular}{|c|c|c|}
\hline Number of people & Sample mean & \begin{tabular}{c}
Sample standard \\
deviation
\end{tabular} \\
\hline 16 & 4.867 & 2.324 \\
\hline
\end{tabular} Enter the values of the sample size, the point estimate of the mean, the sample standard deviation, and the critical value you need for your 99% confidence interval. (Choose the correct critical value from the table of critical values provided.) When you are done, select "Compute".
\begin{tabular}{|l|}
\hline Sample size: \\
□ \\
\hline Point estimate: \\
□ \\
\hline Sample standard deviation: \\
□ \\
\hline Critical value: \\
□ \\
\hline \\
\hline
\end{tabular} Standard error: Margin of error:
\begin{tabular}{|c|}
\hline Critical values \\
\hlinet0.005=2.947 \\
\hlinet0.010=2.602 \\
\hlinet0.025=2.131 \\
\hlinet0.050=1.753 \\
\hline
\end{tabular}
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Ushirimi 1(3+7=10 pikd do jenes anetare te komunitetit it zejedhur?
b) NE dy grupe tö studiuarn rezultol se: GI pêrbęhet proj 100 personash nga tê cilet 60 janê njohês te kompjuterit ka njohuri ; G2 pêrbêhet prej 50 personave nga té cilet 20 janê njohês té kompjutert dive pjesa tjeter nuk ka. zagidhet rastésisht nje person . 1 -Sa Eshic probnbibiliteti qe ai njeh kompjuterin? 2-Recultoi se personi i zgiedhus
6. The average resting heart rate is 68 beats per minute with a standard deviation of 4.3. The top 15% of the population is at an increased risk of heart attack. What is the heart rate (in beats per minute) that would put a person at Thicreased risk?
7. The mean score on physics test is 58 and the standard deviation is 6 . The top 10% of students in the class receive an A. What score would a student need to get on the test to receive an A ? 8. A survey conducted at Bishop McNally of randomly selected students determined that 71% of the students dislike homework. The results have a margin of error within ±3.4%. This data is accurate 45 times out of 50 .
a) Determine the confidence interval for this data. . dor. Z †० ( 0 ) noitsivgb
b) If there are 1350 students at this school, state the interval of the number of students that dislike homework.
c) What is the confidence level as a percent? 9. In an Oreo factory, the mean mass of a cookie is 40 grams. To ensure quality control, the standard deviation is 2 grams. bาsbாสc Ђ๑iduट
a) What percentage of cookies weigh less than 36
b) What percentage of cookies weigh more than grams? 44 grams? ท.jeimerd
58 zalbute lıizoa
c) Cookies are rejected if they weigh less than 36 grams or more than 44 grams. How many cookies would you expect to reject in a sample of 10,000 cookies?
A manufacturer of potato chips would like to know whether its bag filling machine works correctly at the 444 gram setting. Is there sufficient evidence at the 0.01 level that the bags are underfilled? Assume the population is normally distributed. State the null and alternative hypotheses for the above scenario.
Answer
Tables
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Keyboard Shortcuts
H0:□Ha:□
Fifteen students were selected and asked how many hours each studied for the final exam in statistics. Their answers are recorded here.
2690239497710416
Send data to Excel Find the range, variance, and standard deviation. Round the variance to one decimal place and the standard deviation to two decimal places, if necessary. The range is □ 10 hours. Part: 1/3 Part 2 of 3 The variance is □
b) Die Masse von Gummibären ist annähernd normalverteilt mit dem Erwartungswert μ=2,3g und der Standardabweichung σ=0,1g. Gummibären, die zu leicht oder zu schwer sind, werden aussortiert. Abweichungen von bis zu ±0,25g vom Erwartungswert werden toleriert.
1) Berechnen Sie die Wahrscheinlichkeit, mit der ein zufälig ausgewählter Gummibär aussortiert wird.
The stock prices for eight major grocery store chains last January were:
\begin{tabular}{llllllll}
$18.28 & $20.32 & $9.36 & $11.55 & $11.23 & $48.06 & $48.84 & $28.23
\end{tabular}
Send data to Excel Find the range, variance, and standard deviation. Round the variance to one decimal place and the standard deviation to two decimal places, if necessary. Part: 0/3 Part 1 of 3 The range is $□ .
These data are the number of junk e-mails Lena received for 9 consecutive days.
591144282059
Send data to Excel Find the range, variance, and standard deviation. Round the variance to one decimal place and the standard deviation to two decimal places, if necessary.
Part: 0/3 Part 1 of 3 The range is □ e-mails.
The weights (in pounds) of nine players from a college football team are recorded as follows.
208211305295267288303253261
Send data to Excel Find the range, variance, and standard deviation. Round the variance to one decimal place and the standard deviation to two decimal places, if necessary. Round intermediate calculations to one decimal place. Part: 0/3 Part 1 of 3 The range is □ pounds.
A manufacturer of chocolate chips would like to know whether its bag filling machine works correctly at the 417 gram setting. Is there sufficient evidence at the 0.05 level that the bags are underfilled or overfilled? Assume the population is normally distributed. State the null and alternative hypotheses for the above scenario. Answer
Tables
Keypad
Keyboard Shortcuts
H0:□Ha:□
Ten used trail bikes are randomly selected from a bike shop, and the odometer reading of each (in miles) is recorded as follows.
19021036531899782359218369223658
Send data to Excel Find the range, variance, and standard deviation. Round the variance to one decimal place and the standard deviation to two decimal places, if necessary.
Part: 0/3 Part 1 of 3 The range is □ miles.
In one math class, the first exam had an average score of 80.7% with a standard deviation of 12.1%. The second exam had a mean score of 78.8%, with a standard deviation of 20.8%. Based on these numbers, tell whether each statement is true or false. Part: 0/6 Part 1 of 6
(a) Most students did better on the second exam. The statement is (Choose one) ∇.
There is a popular lottery in which a ticket is called a scratcher. An advertisement for this lottery claims that 55% of the population of all the scratchers are winning ones. You want to research this claim by selecting a random sample of 35 scratchers. Follow the steps below to construct a 90% confidence interval for the population proportion of all winning scratchers. Then state whether the confidence interval you construct contradicts the advertisement's claim. (If necessary, consult a list of formulas.)
(a) Click on "Take Sample" to see the results from the random sample.
\begin{tabular}{|c|c|c|c|}
\cline { 3 - 4 } & & Number & Proportion \\
\hline Take Sample & Winning scratcher & 14 & 0.4 \\
\hline Losing scratcher & 21 & 0.6 \\
\hline
\end{tabular} Enter the values of the sample size, the point estimate of the population proportion, and the critical value you need for your 90% confidence interval. (Choose the correct critical value from the table of critical values provided.) When you are done, select "Compute". Sample size:
□
Standard error: Point estimate:
□
Margin of error:
Critical values
z0.005=2.576z0.010=2.326
Critical value:
z0.025=1.960
ALExS Math - 24FA-MAT152-B208: Statistica
ALEKS - Mayasoleil Narcisse - Module 12 Quiz Sec. 8.1-8.3
Module 12 Quiz Sec. 81.3 .3
Question 8 of 9 (1 point) I Question Attempt: 1 of 1
Mayaso A cell phone manufacturer tests the battery lifetimes of its cell phones by recording the time it takes for the battery charges to run out while testers are playing games on the phones continuously. The manufacturer claims that the population mean of the battery lifetimes of all phones of their latest model is 7.28 hours. As a researcher for a consumer information service, you want to test that claim. To do so, you select a random sample of 45 cell phones of the manufacturer's latest model and record their battery lifetimes. Assume it is known that the population standard deviation of the battery lifetimes for that cell phone model is 2.73 hours. Based on your sample, follow the steps below to construct a 99% confidence interval for the population mean of the battery lifetimes for all phones of the manufacturer's latest model. Then state whether the confidence interval you construct contradicts the manufacturer's claim. (If necessary, consult a list of formulas.)
(a) Click on "Take Sample" to see the results from your random sample of 45 phones of the manufacturer's latest model. Take Sample
\begin{tabular}{|c|c|c|}
\hline \begin{tabular}{c}
Number of phones \\
Numple mean
\end{tabular} & \begin{tabular}{c}
Sample standard \\
deviation
\end{tabular} \\
\hline 45 & 5.85 & 2.31 \\
\hline
\end{tabular}
\begin{tabular}{|c|}
\hline \begin{tabular}{c}
Population standard \\
deviation
\end{tabular} \\
\hline 2.73 \\
\hline
\end{tabular} Enter the values of the sample size, the point estimate for the population mean, the population standard deviation, and the critical value you need for your 99% confidence interval. (Choose the correct critical value from the table of critical values provided.) When you are done, select "Compute".
\begin{tabular}{|l|l|l|}
\hline Sample size: \\
\hline
\end{tabular}
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The scores for 20 students on a 50 -point math test are 42,33,50,32,48,46,47,39,40,37,45,38,43,30,35,31,41,44,49, and 36 . Part: 0/3 Part 1 of 3
(a) Find the percentile rank for a score of 47. A test score of 47 is equivalent to the □ percentile.
=1
2
4
5
6
7
8
9 A t distribution with 4 degrees of freedom is graphed below. The region under the curve to the right of t0.8 is shaded. The area of this region is 0.8 . Find the value of t0.8. Round your answer to three decimal places.
t0.8=□
The length of time between charges of a cellphone has a norma distribution with a mean of 30 h and a standard deviation of 8 h If you were to observe the length of time that passes before a cellphone needs to be charged, what is the likelihood that this time will be between 24 h and 36 h ? Make sure to round your answer to the nearest tenth of a percent. Show your work for fu
The scores for 20 students on a 50 -point math test are 49,50,37,44,27,47,43,35,41,31,42,40,38,45,39,33,46,36,32, and 48 . Part: 0/3 Part 1 of 3
(a) Find the percentile rank for a score of 31. A test score of 31 is equivalent to the □ th(st/nd/rd) percentile.
The scores for 20 students on a 50 -point math test are 49,50,37,44,27,47,43,35,41,31,42,40,38,45,39,33,46,36,32 and 48 . Part: 0/3 Part 1 of 3
(a) Find the percentile rank for a score of 31. A test score of 31 is equivalent to the □ percentile.