WorksheetsChapter 9 Review
Total questions: 19
Worksheet time: 5hrs 31mins
A social psychologist reports that “in our sample, ethnocentrism was significantly higher (P-value < 0.05) among church attendees than among non-attendees.” Which of the following statements best describes what this means.
Ethnocentrism was at least 5% higher among church attendees than among non-attendees.
The probability that the alternative is true is less that 0.05.
If there were actually no difference in ethnocentrism between church attendees and non-attendees, then the chance that we would have observed a difference at least as extreme as the one we did is less than 5%.
Suppose we conduct a test of hypotheses and find that the test results are significant at the α = 0.025 level. Which of the following statements then MUST be true?
The results are significant at level α = 0.05.
The results are not significant at level α = 0.01
The test results are important.
An advertisement for Food Chain, a regional supermarket chain, claimed that the chain has had consistently lower prices than its regional competitors. As part of a survey conducted by an independent price-checking company, the average weekly grocery bill (based on the prices of approximately 95 commonly purchased items) was recorded for Food Chain and one of its leading competitors during 8 randomly selected weeks. We wish to conduct a test of H0: μd = 0 vs. Ha: μd < 0, where μd = the mean difference between the weekly Food Chain bill and the weekly bill at the competing chain. Which of the following is the correct Normal/Large Sample condition for conducting this test of significance?
The distributions of weekly bills at each of the chains should both be approximately Normally distributed.
The distribution of differences between weekly bills at the two chains should be approximately Normally distributed.
Both the distributions at each of the chains and the distribution of differences between weekly bills should be approximately Normally distributed.
A survey of 49 people revealed that the mean number of minutes a person talks on his or her wireless phone in one day in a particular locality is 26, with a standard deviation of 2.3. Give a 99% confidence interval for the average daily usage.
[25.08, 26.92]
[25.14, 26.86]
[25.12, 26.88]
[25.15, 26.85]
[25.92, 26.92]
