Suppose a group is interested in determining whether teenagersobtain their drivers licenses at approximately the same average ageacross the country. Suppose that the following data are randomlycollected from five teenagers in each region of the country. Thenumbers represent the age at which teenagers obtained their driverslicenses. Use a level of significance of 0.10.
Northeast South West Central
16.3 16.9 16.4 16.2
16.1 16.5 16.5 16.6
16.4 16.4 23.0 16.5
16.5 16.2 20.2 16.4
What test are you going to run?
| One mean t-test |
| One mean z-test |
| Chi-Square Goodness of Fit |
| ANOVA |
Question 2
What is the null hypothesis?
Question 2 options:
| The mean ages for teenagers obtaining their drivers licenses areapproximately the same average age across the country. |
| At least one of the mean ages for teenagers obtaining theirdrivers licenses is different from the average age across thecountry. |
Question 3
What is the alternative hypothesis?
Question 3 options:
| At least one of the mean ages for teenagers obtaining theirdrivers licenses is different from the average age across thecountry. |
| The mean ages for teenagers obtaining their drivers licenses areapproximately the same average age across the country. |
Question 4
What is test statistic? Please answer with two decimalplaces.
Question 5 What is the p-value? Please answer with three decimalplaces. Question 6 What is your conclusion based on the p-value and the level ofsignificance? Question 6 options: | Reject the null hypothesis | | Fail to reject the null hypothesis |
Question 7 What is the proper conclusion? Question 7 options: | At the 0.10 level of significance, the mean ages for teenagersobtaining their drivers licenses are approximately the same averageage across the country. | | At the 0.10 level of significance, at least one of the mean agesfor teenagers obtaining their drivers licenses is different fromthe average age across the country. |
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