Warning: foreach() argument must be of type array|object, bool given in /var/www/html/web/app/themes/studypress-core-theme/template-parts/header/mobile-offcanvas.php on line 20

Recycle and Review Exercises 29-31 refer to the following setting. Does the color in which words are printed affect your ability to read them? Do the words themselves affect your ability to name the color in which they are printed? Mr. Starnes designed a study to investigate these questions using the 16 students in his AP Statistics class as subjects. Each student performed the following two tasks in random order while a partner timed his or her performance: (1) Read 32words aloud as quickly as possible, and (2) say the color in which each of 32words is printed as quickly as possible. Try both tasks for yourself using the word list given.

Color words (10.3) Now let's analyze the data,

a Calculate the difference (Colors-Words) (Colors - Words) for each subject and surmmarize thedistribution of differences with a boxplot. does the graph provide evidence of a difference in the average time required to perform the two tests? Explain your answer.

b. Explain why it is not safe to use paired & procedures to do inference about the mean difference in time in complete the Two tasks.

Short Answer

Expert verified

a. Yes, the graph provide evidence of a difference in the average time required to perform the two tests

b.It is not safe to use paired & procedures to do inference about the mean difference in time in complete the Two tasks because of data set contains an outlier.

Step by step solution

01

Part (a) Step 1: Given Information

Given table is

We have to calculate the difference (Colors-Words) (Colors - Words) for each subject and surmmarize thedistribution of differences with a boxplot. and also determine does the graph provide evidence of a difference in the average time required to perform the two tests .

02

Part (a) Step 2: Explanation 

The difference (Colors-Words) (Colors - Words) for each subject

The Medain is6

1st quartile is4

3rd quartile is8.5

IQR4.5

outliers are observations

Q3+1.5IQR=8.5+1.5(4.5)=15.25

Q1-1.5IQR=4-1.5(4.5)=-2.75

Graph:

Due to the fact that 18is larger than 15.25it is considered an anomaly.

The box plot's whiskers are at the minimum and highest values. The box has a vertical line at the first quartile, ends at the third quartile, and starts at the first quartile, ends at the third quartile, and starts at the median. The fact that the majority of the box plot sits to the right of 0indicates that there is a difference in the average time required to complete the two tasks.

03

 Part (b) Step 1: Given Information 

The given table is

We have to explain why it is not safe to use paired & procedures to do inference about the mean difference in time in complete the Two tasks .

04

Part (b) Step 2: Explanation 

The students were assigned to the job in a random order, so they were satisfied. independent: Satisfied, according to the sample size of 16 students in AP Statistics.

Sample size: normal/large: Not satisfied, because an outlier was discovered in the data set (see part (a)).

Even if the Normal condition is not met, performing paired t operations is not recommended.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with Vaia!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

Of the 98teachers who responded, 23.5%said that they had one or more tattoos.

a. Construct and interpret a 95%confidence interval for the true proportion of all teachers at the AP institute who would say they have tattoos.

b. Does the interval in part (a) provide convincing evidence that the proportion of all teachers at the institute who would say they have tattoos is different from 0.29. (the value cited in the Harris Poll report)? Justify your answer.

c. Two of the selected teachers refused to respond to the survey. If both of these teachers had responded, could your answer to part (b) have changed? Justify your answer.

Do hummingbirds prefer store-bought food made from concentrate or a simple mixture of sugar and water? To find out, a researcher obtains 10identical hummingbird feeders and fills 5, chosen at random, with store-bought food from concentrate and the other 5 with a mixture of sugar and water. The feeders are then randomly assigned to 10possible hanging locations in the researcherโ€™s yard. Which inference procedure should you use to test whether hummingbirds show a preference for store-bought food based on the amount consumed?

a. A one-sample z-test for a proportion

b. A two-sample z-test for a difference in proportions

c. A chi-square test for independence

d. A two-sample t-test

e. A paired t-test

Boyleโ€™s law Refers to Exercise 34. We took the logarithm (base 10) of the values for both volume and pressure. Here is some computer output from a linear regression analysis of the transformed data.


a. Based on the output, explain why it would be reasonable to use a power model to describe the relationship between pressure and volume.

b. Give the equation of the least-squares regression line. Be sure to define any variables you use.

c. Use the model from part (b) to predict the pressure in the syringe when the volume is 17cubic centimeters.

Multiple Choice Select the best answer for Exercises 23-28. Exercises 23-28 refer to the following setting. To see if students with longer feet tend to be taller, a random sample of 25students was selected from a large high school. For each student, x=foot length and y=height were recorded. We checked that the conditions for inference about the slope of the population regression line are met. Here is a portion of the computer output from a least-squares regression analysis using these data:

Which of the following is the equation of the least-squares regression line for predicting height from foot length?

a. height^=10.2204+0.4117(foot length) height^=10.2204+0.4117(foot length)

b.height^=0.4117+3.0867 (foot length) height^=0.4117+3.0867(foot length)

c. height^=91.9766+3.0867(foot length) height^=91.9766+3.0867(foot length)

d. height^=91.9766+6.47044 (foot length)height^=91.9766+6.47044(foot length)

e. height^=3.0867+6.47044(foot length)heiight^=3.0867+6.47044(foot length)

Exercises T12.4โ€“T12.8 refer to the following setting. An old saying in golf is โ€œYou drive for show and you putt for dough.โ€ The point is that good putting is more important than long driving for shooting low scores and hence winning money. To see if this is the case, data from a random sample of 69 of the nearly 1000 players on the PGA Tourโ€™s world money list are examined. The average number of putts per hole (fewer is better) and the playerโ€™s total winnings for the previous season are recorded and a least-squares regression line was fitted to the data. Assume the conditions for inference about the slope are met. Here is computer output from the regression analysis:

T12.7 Which of the following is the 95% confidence interval for the slope ฮฒ1 of the population regression line?
a. 7,897,179ยฑ3,023,782
b. 7,897,179ยฑ2.000(3,023,782)
c. โˆ’4,139,198ยฑ1,698,371
d. โˆ’4,139,198ยฑ1.960(1,698,371)
e. โˆ’4,139,198ยฑ2.000(1,698,371)

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.

Sign-up for free