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 Heavy
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 | Heavy | |||
Nonbrowser | Browser | Browser | ||
9 | 8 | 3 | ||
10 | 9 | 5 | ||
11 | 8 | 3 | ||
8 | 7 | 5 | ||
8 | 10 | 2 | ||
9 | 7 | 4 | ||
10 | 9 | 3 | ||
9 | 8 | 5 |
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).
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).
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