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.

Nonbrowser	Light Browser	Heavy Browser
4	5	5
5	5	7
6	5	5
3	4	7
3	7	4
3	4	6
5	6	4
4	5	7

(a) Use ? = 0.05 to test for differences among comfort levels for the three types of browsers.

State the null and alternative hypotheses:

H₀: ?_NB = ?_LB = ?_HB H_a: Not all the population means are equal.

Find the value of the test statistic. (Round your answer to two decimal places.)

3.54

Find the p-value. (Round your answers to three decimal places.)

p-value = 0.047

State your conclusion:

Reject H₀. There is sufficient evidence to conclude that the mean comfort scores are not all the same for the three groups.

(b) Use Fisher's LSD procedure to compare the comfort levels of nonbrowsers and light browsers. Use ? = 0.05.

Find the value of LSD. (Round your answer to two decimal places.)

LSD = ____________

Find the absolute difference between sample means for the comfort levels of nonbrowsers and light browsers.

|x_NB ? x_LB| = ____________

What is your conclusion?

Q There is a signicant difference between the population means for the comfort levels of nonbrowsers and light browsers. Q There is not a signicant difference between the population means for the comfort levels of nonbrowsers and light browsers