Answered: a. At the 5% sigr than those wh- b. Are… | bartleby

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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Question

10. There is a theory that people who drink caffeine can run longer than those who do not. To test
this theory a random sample of seven people who drink caffeine and a random sample of seven
people who do not drink caffeine was obtained and their length of time they could run non-stop
was measured, in seconds.
ples
Non-Caffeine
drinkers
280
138
227
203
184
231
Caffeine
drinkers
394
477
428
488
454
a. At the 5% significance level, can you conclude that those who drink caffeine can run longer
than those who do not?
b. Are the samples independent or dependent?
c. If independent, would using dependent samples have been better? Why or Why not? If depen-
dent, explain why dependent samples were used.

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To examine the relationship between alcohol consumption and birth weight, a researcher selects a sample of n = 20 pregnant rats and mixes alcohol with their food for 2 weeks before the pups are born. One newborn pup is randomly selected from each subject’s litter and the average with weight for the n = 20 pups is recorded. It is known that the average birth weight for regular rats (without exposure to alcohol) is μ = 5.6 grams. What type of test would you use to test the hypothesis that alcohol consumption during pregnancy reduces birth weights? Would you use a one-tailed or two-tailed test? What would be an appropriate measure of effect size to report?
A dietician read in a survey that 60.41% of adults in the U.S. do not eat breakfast at least 3 days a week. She believes that the proportion that skip breakfast 3 days a week is different than 0.6041. To verify her claim, she selects a random sample of 77 adults and asks them how many days a week they skip breakfast. 52 of them report that they skip breakfast at least 3 days a week. Test her claim at αα = 0.10.The correct hypotheses would be: H0:p≤0.6041H0:p≤0.6041HA:p>0.6041HA:p>0.6041 (claim) H0:p≥0.6041H0:p≥0.6041HA:p<0.6041HA:p<0.6041 (claim) H0:p=0.6041H0:p=0.6041HA:p≠0.6041HA:p≠0.6041 (claim) Since the level of significance is 0.10 the critical value is 1.645 and -1.645The test statistic is: (round to 3 places)The p-value is: (round to 3 places)The decision can be made to: reject H0H0 do not reject H0H0 The final conclusion is that: There is enough evidence to reject the claim that the proportion that skip breakfast 3 days a week is different than 0.6041.…
A marriage counselor has traditionally seen that the proportion p of all married couples for whom her communication program can prevent divorce is 79%. After making some recent changes, the marriage counselor now claims that her program can prevent divorce in mot e than 79% of married couples. In a random sample of 225 married couples who completed her program, 194 of them stayed together. is there enougn evidence to suppore che marriage counselor's claim at the 0.10 level of sionificance:

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