In a study conducted to investigate browsing activity by shoppers, each shopper was initially classified as a nonbrowser, light browser, or heavy browser. For each shopper, the study obtained a measure to determine how comfortable the shopper was in a store. Higher scores indicated greater comfort. Suppose the following data were collected. Light Нeavy Nonbrowser Browser Browser 10 4 10 6. 11 12 4 11 10 10 4 11 10 a. Use a = .05 to test for a difference among mean comfort scores for the three types of browsers. a. Use a = .05 to test for a difference among mean comfort scores for the three types of browsers. Compute the values identified below (to 2 decimals, if necessary). Sum of Squares, Treatment Sum of Squares, Error Mean Squares, Treatment Mean Squares, Error Calculate the value of the test statistic (to 2 decimals, if necessary). The p-value is less than .01 What is your conclusion? Conclude that the mean comfort scores are not all the same for the browser groups b. Use Fisher's LSD procedure to compare the comfort levels of nonbrowsers and light browsers. Use a = .05. Compute the LSD critical value (to 2 decimals). What is your conclusion? Cannot conclude that nonbrowsers and light browsers have different mean comfort scores

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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In a study conducted to investigate browsing activity by shoppers, each shopper was initially classified as a nonbrowser, light browser, or heavy browser. For
each shopper, the study obtained a measure to determine how comfortable the shopper was in a store. Higher scores indicated greater comfort. Suppose the
following data were collected.
Light
Нeavy
Nonbrowser
Browser
Browser
10
4
10
6.
11
12
4
11
10
10
4
11
10
a. Use a = .05 to test for a difference among mean comfort scores for the three types of browsers.
Transcribed Image Text:In a study conducted to investigate browsing activity by shoppers, each shopper was initially classified as a nonbrowser, light browser, or heavy browser. For each shopper, the study obtained a measure to determine how comfortable the shopper was in a store. Higher scores indicated greater comfort. Suppose the following data were collected. Light Нeavy Nonbrowser Browser Browser 10 4 10 6. 11 12 4 11 10 10 4 11 10 a. Use a = .05 to test for a difference among mean comfort scores for the three types of browsers.
a. Use a =
.05 to test for a difference among mean comfort scores for the three types of browsers.
Compute the values identified below (to 2 decimals, if necessary).
Sum of Squares, Treatment
Sum of Squares, Error
Mean Squares, Treatment
Mean Squares, Error
Calculate the value of the test statistic (to 2 decimals, if necessary).
The p-value is less than .01
What is your conclusion?
Conclude that the mean comfort scores are not all the same for the browser groups
b. Use Fisher's LSD procedure to compare the comfort levels of nonbrowsers and light browsers. Use a = .05.
Compute the LSD critical value (to 2 decimals).
What is your conclusion?
Cannot conclude that nonbrowsers and light browsers have different mean comfort scores
Transcribed Image Text:a. Use a = .05 to test for a difference among mean comfort scores for the three types of browsers. Compute the values identified below (to 2 decimals, if necessary). Sum of Squares, Treatment Sum of Squares, Error Mean Squares, Treatment Mean Squares, Error Calculate the value of the test statistic (to 2 decimals, if necessary). The p-value is less than .01 What is your conclusion? Conclude that the mean comfort scores are not all the same for the browser groups b. Use Fisher's LSD procedure to compare the comfort levels of nonbrowsers and light browsers. Use a = .05. Compute the LSD critical value (to 2 decimals). What is your conclusion? Cannot conclude that nonbrowsers and light browsers have different mean comfort scores
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