In a study conducted to investigate browsing activity by shoppers, each shopper was initially dlassified 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 di were collected. Light Browser Heavy Browser Nonbrowser 3 3 4 5 5 4

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Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
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(a) Use a = 0.05 to test for differences among comfort levels for the three types of browsers.
State the null and alternative hypotheses.
O Ho: UNB = HLB = HHB
H: UNB * HLB * HHB
O Ho: HNB + HLB * MHB
H: UNB = 4LB = "HB
O Ho: UNB = LB = HHB
H: Not all the population means are equal.
O H: Not all the population means are equal.
H: NB = "LB
PHB
O H.: At least two of the population means are equal.
H: At least two of the population means are different.
Find the value of the test statistic. (Round your answer to two decimal places.)
Find the p-value. (Round your answer to three decimal places.)
p-value =
State your conclusion.
O Do not reject Hn. There is not sufficient evidence to conclude that the mean comfort scores are not all the same for the three groups.
O Reject H. There is not sufficient evidence to conclude that the mean comfort scores are not all the same for the three groups.
O Do not reject H,. There is sufficient evidence to conclude that the mean comfort scores are not all the same for the three groups.
O Reject H.. 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 a = 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.
What is your conclusion?
O There is a significant difference between the population means for the comfort levels of nonbrowsers and light browsers.
O There is not a significant difference between the population means for the comfort levels of nonbrowsers and light browsers.
Transcribed Image Text:(a) Use a = 0.05 to test for differences among comfort levels for the three types of browsers. State the null and alternative hypotheses. O Ho: UNB = HLB = HHB H: UNB * HLB * HHB O Ho: HNB + HLB * MHB H: UNB = 4LB = "HB O Ho: UNB = LB = HHB H: Not all the population means are equal. O H: Not all the population means are equal. H: NB = "LB PHB O H.: At least two of the population means are equal. H: At least two of the population means are different. Find the value of the test statistic. (Round your answer to two decimal places.) Find the p-value. (Round your answer to three decimal places.) p-value = State your conclusion. O Do not reject Hn. There is not sufficient evidence to conclude that the mean comfort scores are not all the same for the three groups. O Reject H. There is not sufficient evidence to conclude that the mean comfort scores are not all the same for the three groups. O Do not reject H,. There is sufficient evidence to conclude that the mean comfort scores are not all the same for the three groups. O Reject H.. 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 a = 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. What is your conclusion? O There is a significant difference between the population means for the comfort levels of nonbrowsers and light browsers. O There is not a significant difference between the population means for the comfort levels of nonbrowsers and light browsers.
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
Browser
Nonbrowser
Browser
4
5
5
5
7
6
5
3
4
3
4
4
4
6
5
6
5
5
7
(a) Use a = 0.05 to test for differences among comfort levels 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 Browser Nonbrowser Browser 4 5 5 5 7 6 5 3 4 3 4 4 4 6 5 6 5 5 7 (a) Use a = 0.05 to test for differences among comfort levels for the three types of browsers.
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