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4b. The conclusion is: O There is sufficient evidence to reject the claim that salaries in Hartford have no more variation than salaries in Kansas City O There is sufficient evidence to support the claim that salaries in Hartford have no more variation than salaries in Kansas City O There is insufficient evidence to reject the claim that salaries in Hartford have no more variation than salaries in Kansas City O There is insufficient evidence to support the claim that salaries in Hartford have no more variation than salaries in Kansas City

Holt Mcdougal Larson Pre-algebra: Student Edition 2012

Holt Mcdougal Larson Pre-algebra: Student Edition 2012

1st Edition

ISBN:9780547587776

Author:HOLT MCDOUGAL

Publisher:HOLT MCDOUGAL

Chapter11: Data Analysis And Probability

Section: Chapter Questions

Problem 8CR

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4b. The conclusion is:
O There is sufficient evidence to reject the claim that salaries in Hartford have no more variation than
salaries in Kansas City
O There is sufficient evidence to support the claim that salaries in Hartford have no more variation
than salaries in Kansas City
O There is insufficient evidence to reject the claim that salaries in Hartford have no more variation
than salaries in Kansas City
O There is insufficient evidence to support the claim that salaries in Hartford have no more variation
than salaries in Kansas City
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The table below gives results from random samples of salaries in two cities.
Pop
City
s($)
Hartford
38
2212
2
Kansas City
30
1728
At a = 0.05, test the claim that salaries in Hartford have no more variation than salaries in Kansas City.
1. The null hypothesis is Ho:
Οσισ
O s1 < 82
2. This is a right tailed test with:
dfn =
and dfa =
3a. The STS (to 2 decimals) is F =
3b. The P-value (to 3 decimals) is:
4a. At a = 0.05, the decision is:
O Accept Ha
O Reject Ho
O Do not reject Ho
O Accept Ho

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Also, using α = .05, run a two-tail t-test for one sample to test Ho: µ=283 for the 2009 scores. Report the t-obt, df, and p-values. Would you reject the null hypothesis that the 2009 scores come from a population with average 283? If this is the case, does it come from a population from larger or smaller average?
To evaluate the effect of a treatment, a sample of n = 8 is obtained from a population with a mean of μ = 40, and the treatment is administered to the individuals in the sample. After treatment, the sample mean is found to be M = 35. (Use the 4-step procedure to conduct the hypothesis test) If the sample variance is s2 = 32, are the data sufficient to conclude that the treatment has a significant effect using a two-tailed test with α = .05? If the sample variance is s2 = 72, are the data sufficient to conclude that the treatment has a significant effect using a two-tailed test with α = .05? Comparing your answer for parts a and b, how does the variability of the scores in the sample influence the outcome of a hypothesis test?
Freshmen at public universities work 12.2 hours a week for pay, on average and the SD is 10.5 hours. At private universities, the average is 10.4 hours and the SD is 9.9 hours. Assume these data are based on two independent simple random samples, each of size 900. What is the p-value of the null hypothesis that average number of weekly works hours is the same between freshmen in public and private universities? Use a two-tailed test and choose the closest answer. a. 9.9% b. 0.02% c. 2.8% d. 88%

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