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

A scatterplot of yversus xshows a positive, nonlinear association. Two different transformations are attempted to try to linearize the association: using the logarithm of the y-values and using the square root of the y-values. Two least-squares regression lines are calculated, one that uses x to predict log(y) and the other that uses x to predict y. Which of the following would be the best reason to prefer the least-squares regression line that uses x to predict log(y)?

a. The value of r2is smaller.

b. The standard deviation of the residuals is smaller.

c. The slope is greater.

d. The residual plot has more random scatter.

e. The distribution of residuals is more Normal.

The following back-to-back stem plots compare the ages of players from two minor-league hockey teams (1/7=17 years)

Which of the following cannot be justified from the plots?

a. Team A has the same number of players in their 30sas does Team B.

b. The median age of both teams is the same.

c. Both age distributions are skewed to the right.

d. The range of age is greater for Team A

e. There are no outliers by the1.5IQR rule in either distribution.

Click-through rates Companies work hard to have their website listed at the top of an Internet search. Is there a relationship between a websiteโ€™s position in the results of an Internet search (1=top position,2=2nd position, etc.) and the percentage of people who click on the link for the website? Here are click-through rates for the top 10 positions in searches on a mobile device:

a. Make an appropriate scatterplot for predicting click-through rate from the position. Describe what you see.

b. Use transformations to linearize the relationship. Does the relationship between click-through rate and position seem to follow an exponential model or a power model? Justify your answer.

c. Perform least-squares regression on the transformed data. Give the equation of your regression line. Define any variables you use.

d. Use your model from part (c) to predict the click-through rate for a website in the 11th position.

R12.5 Light intensity In a physics class, the intensity of a 100-watt light bulb was measured by a sensor at various distances from the light source. Here is a scatterplot of the data. Note that a candela is a unit of luminous intensity in the International System of Units.

Physics textbooks suggest that the relationship between light intensity y and distance x should follow an โ€œinverse square law,โ€ that is, a power law model of the form y=ax-2=a1x2. We transformed the distance measurements by squaring them and then taking their reciprocals. Here is some computer output and a residual plot from a least-squares regression analysis of the transformed data. Note that the horizontal axis on the residual plot displays predicted light intensity.

a. Did this transformation achieve linearity? Give appropriate evidence to justify your answer.
b. What is the equation of the least-squares regression line? Define any variables you use.
c. Predict the intensity of a 100-watt bulb at a distance of 2.1 meters.

Boyleโ€™s law Refer to Exercise 34. Here is a graph of 1Pressureversus volume along with output from a linear regression analysis using these variables:

a. Give the equation of the least-squares regression line. Define any variables you use. b. Use the model from part (a) to predict the pressure in the syringe when the volume is 17cubic centimeters.

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