Data & Statistics

Problem 3401

Question 7 of 9 (1 point) I Question Attempt 1 of Unlimited Following are the ort measurements and actual weights of the 10 largest pumpkins entered into official competitions in a recent year. \begin{tabular}{cc} \hline OTT (inches) & weight (pounds) \\ \hline 469.0 & 2469.0 \\ 455.0 & 2283.0 \\ 477.0 & 2157.5 \\ 480.0 & 2416.5 \\ 490.0 & 2433.9 \\ 452.0 & 2136.0 \\ 456.0 & 2091.0 \\ 462.0 & 2070.1 \\ 456.0 & 2077.0 \\ 490.0 & 2528.0 \\ \hline \end{tabular} Send data to Excel
Part: 0/40 / 4 \square
Part 1 of 4 (a) Compute the least-squares regression line for predicting weight (y)(y) from OTT (x)(x). Round the slope and yy-intercept to four decimal places as needed.
The equation for the least squares regression line is y^=\hat{y}= \square .

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Problem 3402

```latex In recent years, Jayme Company has purchased three machines. Because of frequent employee turnover in the accounting department, a different accountant was in charge of selecting the depreciation method for each machine, and various methods have been used. Information concerning the machines is summarized in the table below.
\begin{tabular}{cccccl} Machine & Acquired & Cost & \begin{tabular}{c} Salvage \\ Value \end{tabular} & \begin{tabular}{c} Useful Life \\ (in years) \end{tabular} & \begin{tabular}{c} Depreciation \\ Method \end{tabular} \\ \hline 1 & Jan. 1,2023 & \$96,000 & \$12,000 & 8 & Straight-line \\ 2 & July 1,2024 & \$85,000 & \$10,000 & 5 & Declining-balance \\ 3 & Nov. 1,2024 & \$66,000 & \$6,000 & 6 & Units-of-activity \end{tabular}
For the declining-balance method, Jayme Company uses the double-declining rate. For the units-of-activity method, total machine hours are expected to be 30,000. Actual hours of use in the first 3 years were: 2024, 800; 2025, 4,500; and 2026, 6,000.
(a) Compute the amount of accumulated depreciation on each machine at December 31, 2026.
\textbf{MACHINE 1} \\ \textbf{MACHINE 2} \\ \textbf{MACHINE 3} \\ \$ \square \quad \$ \square \quad \$ \square \\ 22600
If machine 2 was purchased on April 1 instead of July 1, what would be the depreciation expense for this machine in 2024? In 2025?
\begin{tabular}{c|c} \textbf{Year} & \textbf{Depreciation Expense} \\ \hline 2024 & \$ \square \\ 2025 & \$ \square \\ \end{tabular}

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Problem 3403

A historian finds marriage records from 180018201800-1820 showing an average age of 26.7. Answer these questions about the data.

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Problem 3404

A historian estimates the average age at marriage of men (1800-1820): average age is 26.7 years, range is 25.8-27.6 years.
a. What summarizes the data? b. What infers about the population? c. What population is referred to? d. Is 26.7 a statistic or parameter?

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Problem 3405

Is 55%55\% of seniors owning a vehicle a statistic or a parameter? Choose the correct explanation.

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Problem 3406

In a poll of 1,002 women, 46%46\% favored using federal tax dollars for embryo research. Identify the population and sample.

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Problem 3407

Compare the population growth of Washington and Franklin. Which city grows faster? When will their populations equal? Provide numbers.

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Problem 3408

Find the average number of restaurants visited per week: 3, 4, 2, and 3. What is the average? F. 2 G. 3 H. 4 ง. 9 K. 12

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Problem 3409

Classify the data from a bakery ticket system: Is it qualitative/quantitative, discrete/continuous, and what is its measurement level?

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Problem 3410

Classify the data on defective circuits per CPU in a sample of 100. Is it qualitative or quantitative, discrete or continuous, and what is its measurement level?

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Problem 3411

Classify the data on the number of people quitting smoking yearly for 10 years as qualitative/quantitative, discrete/continuous, and level of measurement.

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Problem 3412

You collected 340 surveys in March and 408 in April. If you enter 68 surveys daily, how many days to enter all?

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Problem 3413

Calculate the total overtime pay for M. O'Donnell, who worked 2 hours at \$22.50 and 4 hours at \$22.50. What is the total?

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Problem 3414

Classify bakery ticket numbers as qualitative/quantitative, discrete/continuous, and identify the highest measurement level.

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Problem 3415

Five people take tickets in a bakery. Are the data qualitative or quantitative? Discrete or continuous? Highest measurement level?

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Problem 3416

Is the card suit data qualitative or quantitative? Is it discrete or continuous? What is the highest level of measurement?

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Problem 3417

Is Andrea correct that the interest on the CD is simple interest based on the future values after xx years? A. True B. False

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Problem 3418

Types of cars owned are which type of data: Qualitative, Quantitative, Inferential, or Statistic?

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Problem 3419

Weights of animals are what type of data: discrete, continuous, or neither?

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Problem 3420

You order a pizza with types numbered 1-4. Are the data qualitative or quantitative? Discrete or continuous? Highest level of measurement?

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Problem 3421

Calculate the average atomic mass of silicon (Si) using isotopic data. Round your answer to the tenths place.

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Problem 3422

A survey in 50 countries asked about experiences with American products. Are the data qualitative/quantitative and discrete/continuous? What is the highest level of measurement: nominal, ordinal, interval, or ratio?

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Problem 3423

Is the handedness survey data qualitative or quantitative? Is it discrete or continuous? What is the highest measurement level?

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Problem 3424

Evaluate 300 students' housing quality ratings: qualitative or quantitative? Discrete or continuous? Highest measurement level?

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Problem 3425

Is heart rate data qualitative or quantitative? Is it discrete or continuous? What is the highest measurement level: nominal, ordinal, interval, or ratio?

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Problem 3426

Fill in the missing SI unit symbols for these measurements: width of a football field =48=48, mass of an apple =250=250, mass of a soda can =355=355, world record for 100 m100 \mathrm{~m} swim =44.9=44.9.

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Problem 3427

Fill in the missing SI unit symbols for: mass of an apple, time between eye blinks, height of Magic Johnson, mass of a US penny.

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Problem 3428

Classify these variables as Qualitative or Quantitative: Weight (mg), Salary (¥), Salary (€), Age (weeks).

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Problem 3429

Classify the following values as discrete or continuous: mortgage term (years), weight (kg), CEO salaries, age (days).

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Problem 3430

Find the class width and create a frequency distribution with six classes for the data: 28, 27, 39, 26, 36, 41, 20, 51, 34, 35, 30, 13, 9, 21, 40, 49, 25, 44, 17, 52. Enter your class width:

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Problem 3431

Find the mean, median, mode, and standard deviation for these 8 mpg values: 22, 34, 29, 31, 35, 29, 20, 27.

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Problem 3432

Calculate the Population Mean and Standard Deviation for the frequency distribution:
Data: 707670-76 (14), 778377-83 (19), 849084-90 (13), 919791-97 (12), 9810498-104 (5), 105111105-111 (4).

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Problem 3433

Acme Company widget weights are normally distributed: mean 5656 oz, SD 77 oz. Use the Empirical Rule to find:
a) Range for 68%68\% weights. b) Percentage between 5656 and 7070 oz. c) Percentage between 3535 and 7777 oz.

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Problem 3434

Calculate the correlation coefficient rr, find the regression line, and predict the 5K time for VO2max=24.79\mathrm{VO}_{2} \mathrm{max} = 24.79.

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Problem 3435

Determine if the following values are parameters or statistics: a. 66% of MAT 120 students passed. b. Mean height of 228 males is 69.5 inches. c. 16% of a Stats class are freshmen. d. Mean daily Snapchat usage is 68 minutes.

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Problem 3436

Calculate the sample standard deviation of the following musical aptitude scores: 0 (3), 1 (1), 2 (7), 3 (0), 4 (2), 5 (3). Use two decimal places.

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Problem 3437

Data set from a stem-and-leaf plot: 1 | 2235667, 2 | 135, 3 | 26677, 4 | 14. Find total values, min in last class, count & percent 20\geq 20.

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Problem 3438

Find the zz-score for a value of 99 in a normal distribution with mean 92 and standard deviation 6. Round to two decimals.

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Problem 3439

Match each variable with its Level of Measurement: Employer, binge drinking students, student IDs, weight (kg). a. Nominal b. Ordinal c. Interval d. Ratio

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Problem 3440

Pulse rates of non-smoking females before (mean 75.54, SD 11.62) and after exercise (mean 125.03, SD 25.86). Which is higher?

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Problem 3441

Determine how many rows a frequency table would have if academic performance scores from schools are listed individually.

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Problem 3442

Find the temperature difference between Juneau and Boston at 6 a.m. and Boston's noon temperature after a 10F10^{\circ} \mathrm{F} rise.

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Problem 3443

Given the altitudes for five checkpoints:
1: -55, 2: -122, 3: -184, 4: 1116, 5: 2879.
(a) What is the altitude of a hill that is 172 feet above Checkpoint 3? (b) How much lower is Checkpoint 2 than Checkpoint 4?

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Problem 3444

Given the altitudes of checkpoints: 1: -55, 2: -122, 3: -184, 4: 1,116, 5: 2,879.
(a) Altitude of hill above checkpoint 3: 184+172-184 + 172.
(b) Difference in altitude between checkpoints 2 and 4: (122)1,116(-122) - 1,116.

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Problem 3445

Calculate the average volume of pollutants from the plants: Susquehanna (0.314 L), Fall River (4.23 L), Doheny (11.81 L).

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Problem 3446

Calculate the average volume of pollutants from three plants: 0.658 L, 0.512 L, and 34.47 L. Use significant digits.

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Problem 3447

Calculate the average volume of pollutant from the plants: Platte (7.08 L), New Bedford (0.901 L), Doheny (3.107 L).

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Problem 3448

Calculate the average volume of pollutants from three plants: 48.7 L, 0.86 L, and 0.788 L. Report with correct significant digits.

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Problem 3449

Calculate the average volume of pollutants from the plants: Macon (3.88 L), Platte (3.075 L), New Salem (6.06 L).

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Problem 3450

Calculate the average volume of pollutants from the plants: Pinecrest (0.91 L), Cross Creek (31.9 L), Doheny (3.495 L).

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Problem 3451

Find the average volume of pollutant from the plants: New Bedford (0.285 L), Pitt (0.842 L), Doheny (0.75 L).

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Problem 3452

A chemical engineer has pollutant volumes: Fall River: 6.109 L, Platte: 20.60 L, New Bedford: 0.214 L. Find the average volume with correct significant digits.

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Problem 3453

Calculate the average volume of pollutants from the plants: Platte (0.906 L), New Bedford (0.386 L), Lincoln (40.97 L).

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Problem 3454

Calculate the average volume of pollutants from three plants: Fall River (2.733 L), Cross Creek (0.5 L), Pinecrest (1.247 L).

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Problem 3455

Calculate the average volume of pollutant from the plants: Susquehanna (9.208 L), Cross Creek (49.9 L), South Fork (7.68 L).

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Problem 3456

Calculate the average volume of pollutant from the plants: Pitt (0.18 L), New Salem (26.3 L), Pinecrest (7.35 L).

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Problem 3457

A chemical engineer needs to find the average pollutant volume from three plants: Lincoln (0.289 L), Susquehanna (7.27 L), and Fall River (45.9 L). What is the average volume with the correct significant digits?

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Problem 3458

Calculate the average volume of pollutant from the plants: New Salem (5.629 L), New Bedford (0.429 L), South Fork (4.92 L).

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Problem 3459

A chemical engineer has pollutant volumes: Allegheny: 8.49 L, Pinecrest: 1.77 L, Lincoln: 6.38 L. Find the average volume.

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Problem 3460

Find the average volume of pollutants from three plants: Lincoln (32.64 L), Platte (30.14 L), Pitt (34.79 L). Use significant digits.

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Problem 3461

Calculate the average volume of pollutant from these plants: Cross Creek (2.081 L), Pitt (0.20 L), Macon (0.911 L).

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Problem 3462

A chemical engineer has pollutant volumes from plants: New Bedford (5.7 L), Pitt (0.2 L), South Fork (49.2 L). Find the average volume with correct significant digits.

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Problem 3463

Calculate the average volume of pollutants from three plants: New Bedford (6.215 L), Allegheny (5.4 L), Fall River (30.2 L).

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Problem 3464

Calculate the average volume of pollutant from the plants: New Bedford (8.972 L), Doheny (0.7 L), Pinecrest (9.66 L). Use significant digits.

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Problem 3465

Calculate the interest earned by Anjana's simple interest and Darin's compound interest on \3000at3000 at 4.9\%$ over 5 years.

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Problem 3466

List the electives from most popular to least popular based on these percentages: Choir (0.35), Art (0.44), Band (0.42), Theater (0.38). Options: A. Band, Art, Theater, Choir B. Art, Band, Theater, Choir C. Band, Choir, Art, Theater D. Art, Band, Choir, Theater.

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Problem 3467

Kendell's total expenses for 5 friends are \$1253.35 (Hotel) + \$131.10 (Gas) + \$645.25 (Food). What does each owe?

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Problem 3468

Students voted for their favorite after-school activities. Order these from most to least popular: Computer Games 12\frac{1}{2}, Read 112\frac{1}{12}, Watch TV 16\frac{1}{6}, Play Sports 14\frac{1}{4}.

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Problem 3469

Find the percentage of people with IQs between 55 and 145, given a mean of 100 and a standard deviation of 15.

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Problem 3470

Find the percentage of people with an IQ over 130, given a normal distribution with mean 100 and standard deviation 15.

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Problem 3471

What is the best way to display data on college students' ages and car values from a survey of 300 students? A. Two-way table B. Pie chart C. Histogram D. Side-by-side boxplots E. Scatterplot

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Problem 3472

Determine the best way to display data from a study on TV violence and adult abuse: A. scatterplot B. boxplots C. two-way table D. histogram E. pie chart.

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Problem 3473

xx is the 1{ }^{-1}\begin{tabular}{|l|l|l|} \hlineXX & 91 & 7 \\ \hline \end{tabular} (i)
Write the scores in order, from the lowest to the highest in the spaces below. (ii) the question.
Median ==
Explanation:

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Problem 3474

Vegetarians: In a recent poll of 1046 adults in the United States, 47 said they were vegetarians.
Part: 0/30 / 3
Part 1 of 3 (a) Construct a 99%99 \% confidence interval for the proportion of adults in the United States who are vegetarians. (Round the answers to three decimal places.)
A 99%99 \% confidence interval for the proportion of adults in the United States who are vegetarians is \square <p<<p< \square

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Problem 3475

Surgical complications: A medical researcher wants to construct a 99%99 \% confidence interval for the proportion of knee replacement surgeries that result in complications.
Part: 0/20 / 2
Part 1 of 2 (a) An article in a medical journal suggested that approximately 7%7 \% of such operations result in complications. Using this estimate, what sample size is needed so that the confidence interval will have a margin of error of 0.03 ?
A sample of \square operations is needed to obtain a 99%99 \% confidence interval with a margin of error of 0.03 using the estimate 0.07 for pp

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Problem 3476

The circle graph to the right shows the percent of health club memberships, by age, in a certain country. A certain health club had 600 members in a recent year. Answer the question assuming the graph also applies to this health club.
Estimate the number of health club members at this health club between the ages of 18 and 34 . Choose the correct estimate below. A. 1800 B. 60 C. 180 D. 18
Health Club Mermbership by Age

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Problem 3477

Video
Find the equation for the least squares regression line of the data described below.
Stem and Leaf Agriculture wants to add a new compound to its bags of sunflower fertilizer. The company produced several bags containing varying amounts of the compound to see how it would affect sunflower growth.
Next, Stem and Leaf collected data on the amount of the compound added to each bag (in grams), xx, and the weekly growth of the sunflowers treated with each bag (in centimeters), yy. \begin{tabular}{|c|c|} \hline 4) Amount of compound & D) \\ \hline 11 & 13 \\ \hline 22 & 11 \\ \hline 37 & 34 \\ \hline 77 & 28 \\ \hline 80 & 34 \\ \hline \end{tabular}
Round your answers to the nearest thousandth. y=y= \square x+x+

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Problem 3478

When a correlation is statistically significant, we can claim that the variables are (A) associated (B) from an experiment (C) part of the "third variable problem"
D statistically independent

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Problem 3479

\begin{tabular}{|c|c|} \hline \begin{tabular}{c} Theater revenue, \\ x\boldsymbol{x} \\ (in millions of \\ dollars) \end{tabular} & \begin{tabular}{c} Rental revenue, y\boldsymbol{y} \\ (in millions of \\ dollars) \end{tabular} \\ \hline 14.5 & 2.3 \\ \hline 36.3 & 11.7 \\ \hline 60.2 & 16.6 \\ \hline 44.3 & 5.7 \\ \hline 67.0 & 10.2 \\ \hline 27.8 & 12.8 \\ \hline 25.5 & 8.3 \\ \hline 12.7 & 10.4 \\ \hline 25.5 & 7.3 \\ \hline 7.3 & 2.4 \\ \hline 49.1 & 15.7 \\ \hline 20.8 & 5.3 \\ \hline 61.9 & 9.8 \\ \hline 30.6 & 5.5 \\ \hline 28.2 & 3.1 \\ \hline \end{tabular} Send data to calculator Send data to Excel
The least-squares regression line for these data has a slope of approximately 0.15 . Answer the following. Carry your intermediate computations to at least four decimal places, and round your answers as specified below. \begin{tabular}{|l|} \hline What is the value of the yy-intercept of the least-squares \\ regression line for these data? Round your answer to at least \\ two decimal places. \\ \hline \end{tabular}

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Problem 3480

\begin{tabular}{|c|c|} \hline \begin{tabular}{c} Campaign cost, \\ \begin{tabular}{c} x\boldsymbol{x} \\ (in millions of \\ dollars) \end{tabular} \end{tabular} \begin{tabular}{c} Increase in sales, \\ y\boldsymbol{y} \\ (percent) \end{tabular} \\ \hline 3.93 & 6.94 \\ \hline 2.08 & 6.78 \\ \hline 3.08 & 6.94 \\ \hline 2.97 & 6.50 \\ \hline 3.36 & 6.55 \\ \hline 1.54 & 6.56 \\ \hline 3.56 & 6.91 \\ \hline 1.35 & 6.41 \\ \hline 1.75 & 6.34 \\ \hline 2.24 & 6.59 \\ \hline 3.80 & 6.78 \\ \hline 2.14 & 6.46 \\ \hline \end{tabular} Send data to calculator Send data to Excel
Figure 1
The value of the sample correlation coefficient rr for these data is approximately 0.703 . Answer the following. Carry your intermediate computations to at least four decimal places, and ro \begin{tabular}{|l|l|} \hline \begin{tabular}{l} What is the value of the slope of the least-squares regression \\ line for these data? Round your answer to at least two decimal \\ places. \end{tabular} \\ \hline \begin{tabular}{l} What is the value of the yy-intercept of the least-squares \\ regression line for these data? Round your answer to at least \\ two decimal places. \end{tabular} & \square \\ \hline \end{tabular}

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Problem 3481

Select the graph that best illustrates the following distribution shape: Skewed to the left
Answer

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Problem 3482

1. Suppose X1X_{1} is normally distributed with a mean of 4 and a standard deviation of 1 and suppose X2X_{2} is normally distributed with a mean of 5 and a standard deviation of 2 . (a) Explain why Xˉ1Xˉ2\bar{X}_{1}-\bar{X}_{2} is normally distributed, even though both n1n_{1} and n2n_{2} are small. (2 marks)

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Problem 3483

60 households in the Highlands neighbourhood of Edmonton were randomly sampled, 30 with garages and 30 without. Here are the summary results of assessed values of the houses. \begin{tabular}{|c|c|c|c|} \hline Garage & Sample size & Sample mean & Sample standard deviation \\ \hline No & 30 & $227666.70\$ 227666.70 & $164696.80\$ 164696.80 \\ \hline Yes & 30 & $437450.00\$ 437450.00 & $118107.50\$ 118107.50 \\ \hline \end{tabular} (a) Test if the mean assessed value is lower among the houses without garages. Perform a full 6 step hypothesis testing procedure, induding stating and discussing assumptions. Use the 5%5 \% significance level. Let μ1\mu_{1} be the mean assessed value of the houses without garages and μ2\mu_{2} be the mean assessed value of the houses with garages, (8 marks)

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Problem 3484

3. The dataset GRADESINTROSTATS is a file that contains information from a random sample of 31 students who took Statistics at MacEwan University in a recent term. Your variables of interest are LCMT (lecture midtermgrade) and LCFE (lecture final exam grade). The data are given below; your instructor has calculated a column of differences for you. \begin{tabular}{|c|c|c|c|c|c|} \hline LCMT & LCFE & & \multicolumn{3}{|l|}{LCMT-LCFE} \\ \hline 81.58 & 69.74 & & 11.84 & & \\ \hline 68.42 & 68.42 & & 0 & & \\ \hline 71.05 & 65.79 & & 5.26 & & \\ \hline 60.53 & 60.53 & & 0 & & \\ \hline 65.79 & 68.42 & & -2.63 & & \\ \hline 55.26 & 61.84 & & -6.58 & & \\ \hline 63.16 & 69.74 & & 6.58-6.58 & & \\ \hline 84.21 & 50.00 & & 34.21 & & \\ \hline 89.47 & 88.16 & & 1.31 & & \\ \hline 81.58 & 73.68 & & 7.9 & & \\ \hline 92.11 & 78.95 & & 13.16 & & \\ \hline 86.84 & 84.21 & & 2.63 & & \\ \hline 97.37 & 81.58 & & 15.79 & & \\ \hline 68.42 & 63.16 & & 5.26 & & \\ \hline 68.42 & 68.42 & & 0 & & \\ \hline 52.63 & 65.79 & & -13.16 & & \\ \hline 63.16 & 60.53 & & 2.63 & & \\ \hline 97.37 & 98.68 & & -1,31 & & \\ \hline 68.42 & 60.53 & & 7.89 & & \\ \hline 78.95 & 84.21 & & -5.26 & & \\ \hline 73.68 & 64.47 & & 9.21 & & \\ \hline 86.84 & 80.26 & & 6.58 & & \\ \hline 52.63 & 56.58 & & -3.95 & & \\ \hline 50.00 & 71.05 & & -21.05 & & \\ \hline 78.95 & 76.32 & & 2.63 & & \\ \hline 44.74 & 68.42 & & -23.68 & & \\ \hline 73.68 & 76.32 & & -2.64 & & \\ \hline 71.05 & 65.79 & & 5.26 & & \\ \hline 71.05 & 57.89 & & 13.16 & & \\ \hline 81.58 & 67.11 & & 14.47 & & \\ \hline 68.42 & 59.21 & & 9.21 & & \\ \hline \end{tabular}
Note: the sample mean xˉd=2.630968\bar{x}_{d}=2.630968 and the sample standard deviation sd=11.05528s_{d}=11.05528. The student may verify this with R or Excel or an online calculator, if desired, but it is not neoessary: (a) Why are these data best regarded as a paired sample? (2 marks)

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Problem 3485

Discuss the statement and tell what possible misuse or misinterpretation may exist. In a study of patients with flu symptoms, each patient was found to have improved symptoms after taking apple cider vinegar. Therefore, apple cider vinegar cures the flu.
Discuss the statement and tell what possible misuse or misinterpretation may exist. Choose the correct answer below. A. The statement is not valid because having improved symptoms does not necessarily translate to the patients being cured of the flu. B. The statement is valid because the patients may have improved on their own without taking apple cider vinegar and having improved symptoms translates to the patients being cured of the flu. C. The statement is valid because each patient had improved symptoms which translates to the patients being cured of the flu. D. The statement is not valid because the patients may have improved on their own without taking apple cider vinegar and having improved symptoms does not necessarily translate to the patients being cured of the flu.

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Problem 3486

Find the range and standard deviation of the set of data. 210,213,216,219,222,225,228 b 210,213,216,219,222,225,228 \text { b }
The range is \square (Simplify your answer.) The standard deviation is \square (Round the final answer to the nearest hundredth as needed. Round all intermediate values to the nearest hundredth as needed.)

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Problem 3487

Use the accompanying histogram to answer the following questions. a) How many homes were included in the survey? b) In how many homes were three televisions observed? c) What is the modal class? d) How many televisions were observed? e) Construct a frequency distribution from this histogram.
Televisions per Home a) There were 29 homes included in the survey. (Type a whole number.) b) There were 8 homes where three televisions were observed. (Type a whole number.) c) The modal class is 3 . (Type a whole number) d) There were 93 abserved televisions. (Type a whole number) e) Construct a frequency distribution from this histogram. \begin{tabular}{c|c} Televisions per home & Number of Homes \\ \hline 0 & \square \\ 1 & \square \\ 2 & \square \\ 3 & \square \\ 4 & \square \\ 5 & \square \\ 6 & \square \end{tabular}

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Problem 3488

The following graph shows the average price of a movie ticket for the years 2008 and 2010. Complete parts (a) and (b) Average Pribe of a Movle Ticket below: a) Draw a bar graph that shows the entire scale from $0\$ 0 to $8\$ 8. Choose the correct graph below. A.
Average Price of a Movie Ticket B. c.
Average Prioe of a Movie Ticket D. b) Does the new graph give a different impression? Explain. Choose the correct answer below. A. No, the price difference appears the same in the new graph. B. Yes, the price difference appears more reasonable in the old graph. C. No, the price difference appears more reasonable in the new graph. D. Yes, the price difference appears more reasonable in the new graph.

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Problem 3489

Conhlence intervals and Hypothesis Testing Hypothesis test for the population mean: Z test using p values 0/5
According to a report done by S&S \& J Power, the mean lifetime of the light bulbs it manufactures is 42 months. A researcher for a consumer advocate group tests this by selecting 19 bulbs at random. For the bulbs in the sample, the mean lifetime is 36 months. It is known that the population standard deviation of the lifetimes is 9 months. Assume that the population is normally distributed. Can we conclude, at the 0.01 level of significance, that the population mean lifetime, μ\mu, of light bulbs made by this manufacturer differs from 42 months?
Perform a two-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places, and round your responses as specified below. (If necessary, consult a list of formulas.) (a) State the null hypothesis H0H_{0} and the altemative hypothesis H1H_{1}. H0:H1:\begin{array}{l} H_{0}: \square \\ H_{1}: \square \end{array} (b) Determine the type of test statistic to use. (Choose one) (c) Find the value of the test statistic. (Round to three or more decimal places.) \square (d) Find the pp-value. (Round to three or more decimal places.) \square (e) Can we conclude that the population mean lifetime of light butbs made by this manufacturer differs from 42 months? Yes No Explanation Check 92024 Mcerew Hill LLC. All Rights Resened. Terms of Use 1 Pivagy Center

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Problem 3490

Identify the sampling technique used. Every 11th person in line to buy tickets to a concert is asked his or her age.
What type of sampling is used? Random Cluster Convenience Stratified Systematic

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Problem 3491

Assume the average amount of caffeine consumed daily by adults is normally distributed with a mean of 240 mg and a standard deviation of 46 mg . In a random sample of 300 adults, how many consume at least 320 mg of caffeine daily?
Click here to view page 1 of the standard normal distribution table. Click here to view page 2 of the standard normal distribution table.
Of the 300 adults, approximately \square adults consume at least 320 mg of caffeine daily. (Round to the nearest whole number as needed.)

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Problem 3492

Discuss the statement and tell what possible misuse or misinterpretation may exist. Suppose seventy-five percent of accidents occur within 13 miles of home. Therefore, it is safer not to drive within 13 miles of home.
Discuss the statement and tell what possible misuse or misinterpretation may exist. Choose the correct answer below. A. The statement is not valid because most accidents occur within 13 miles of home. B. The statement is valid because most accidents occur within 13 miles of home. C. The statement is not valid because people may drive within 13 miles of home more often. D. The statement is valid because people may drive within 13 miles of home more often.

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Problem 3493

When a national sample of heights of kindergarten children was taken, a student was told that she was in the 70 th percentile. Explain what that means.
Choose the correct interpretation below. A. She is taller than 70 kindergarten children. B. She is taller than 70 percent of all kindergarten children. C. She is shorter than 70 percent of all kindergarten children. D. She is taller than 30 percent of all kindergarten children.

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Problem 3494

Identify the sampling technique used to obtain a sample. A famous magazine chooses its "smartest-sounding celebrities" by compiling responses from readers who mail in a survey printed in the magazine.
What type of sampling is used? Random sampling Systematic sampling Convenience sampling Stratified sampling Cluster sampling

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Problem 3495

Determine the mean, median, mode and midrange of the set of data. 2,4,17,4,8,4,16,92,4,17,4,8,4,16,9 \square
What is the mean? \square (Round to the nearest tenth as needed.) What is the median? (Round to the nearest tenth as needed.) What is the mode? Select the correct choice below and fill in any answer boxes within your choice. A. (Use a comma to separate answers as needed.) B. There is no mode.
What is the midrange? (Round to the nearest tenth as needed.)

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Problem 3496

Use the frequency distribution to complete parts (a) through (e). a) Determine the total number of observations. b) Determine the width of each class. c) Determine the midpoint of the second class. d) Determine the modal class (or classes). e) Determine the class limits of the next class if an additional class were to be added. \begin{tabular}{cc} Class & Frequency \\ 122212-22 & 8 \\ 233323-33 & 0 \\ 344434-44 & 8 \\ 455545-55 & 8 \\ 566656-66 & 0 \\ 677767-77 & 7 \end{tabular} a) The total number of observations is \square . b) The width of each class is \square c) The midpoint of the second class is \square . (Type an integer or a decimal.) d) The modal class(es) is/are \square (Use a hyphen to separate the limits of a class. Use a comma to separate answers. Type the classes in order from smallest to largest.) e) The class limits of the next class if an additional class were to be added are \square (Use a hyphen to separate the limits of a class.)

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Problem 3497

Fill in the blanks with an appropriate word, phrase, or symbol(s). According to the empirical rule, in a normal distribution, approximately \qquad %\% of the data lie within plus or minus 1 standard deviation of the mean, approximately minus 2 standard deviations of the mean, and approximately \qquad %\% of the data lie within plus or minus 3 standard deviations of the mean. \qquad %\% of the data lie within plus or \qquad According to the empirical rule, in a normal distribution, approximately \square \% of the data lie within plus or minus 1 standard deviation of the mean, approximately minus 2 standard deviations of the mean, and approximately \square %\% of the data lie within plus or minus 3 standard deviations of the mean. \square %\% of the data lie within plus or

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Problem 3498

The prices of the 19 top-rated all-season tires for a specific tire size, are as follows. Answer parts (a) - (c). \begin{tabular}{llllllllll} $88\$ 88 & $118\$ 118 & $97\$ 97 & $79\$ 79 & $82\$ 82 & $92\$ 92 & $94\$ 94 & $89\$ 89 & $94\$ 94 & $81\$ 81 \\ $109\$ 109 & $115\$ 115 & $103\$ 103 & $95\$ 95 & $85\$ 85 & $92\$ 92 & $75\$ 75 & $99\$ 99 & $91\$ 91 & \end{tabular} a) Determine Q2Q_{2}. Q2=\mathrm{Q}_{2}= \square b) Determine Q1Q_{1}. Q1=Q_{1}= \square c) Determine Q3Q_{3}. Q3=Q_{3}= \square

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Problem 3499

The following data are from a simple random sample. 5,8,10,7,10,145, \quad 8, \quad 10, \quad 7, \quad 10, \quad 14 What is a point estimate of the population variance σ2\sigma^{2} ? A. σ^2=s2=10.6\hat{\sigma}^{2}=s^{2}=10.6. B. σ^2=s2=6\hat{\sigma}^{2}=s^{2}=6. C. σ^2=s2=9.6\hat{\sigma}^{2}=s^{2}=9.6. D. σ^2=s2=8\hat{\sigma}^{2}=s^{2}=8. E. σ^2=s2=4.5\hat{\sigma}^{2}=s^{2}=4.5.

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Problem 3500

For the data given in the table, use a calculator to find the Ans equation of the best fit line, and determine the correlation coefficient. Round to three decimal places if necessary. \begin{tabular}{|l|c|c|c|c|c|} \hlinexx & -9 & -7 & -5 & 1 & 3 \\ \hlinef(x)f(x) & 8 & 13 & 14 & 30 & 41 \\ \hline \end{tabular} f(x)=f(x)=

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