A) State the level of significance.
B) Check the conditions that are required for future computations.
C) Make a decision to either accept the null hypothesis or accept the alternative hypothesis.
D) State the null and alternative hypothesis about the population parameter.
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A)
B)
C)
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A) p^ = 0.333, z = 1.586, p- value = 0.056
B) p^ = 0.289, z = - 0.829, p- value = 0.407
C) p^ = 0.667, z = 8.795, p- value = 0.000+ D) p^ = 0.333, z = 0.067, p- value = 0.946
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Multiple Choice
A) There is not sufficient evidence to conclude that the population proportion is significantly different from 0.04.
B) There is sufficient evidence to conclude that the population proportion is significantly different from 0.04.
C) There is not sufficient evidence to reject the null hypothesis that the population proportion is equal to 0.04.
D) There is sufficient evidence to accept the null hypothesis that the population proportion is equal to 0.04.
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A) One- proportion z- test; the population is all adults who make online purchases.
B) Two- proportion z- test; the population is the 200 men surveyed.
C) Two- proportion z- test; one population is all men who make online purchases and the other population is all men who do not make online purchases.
D) One- proportion z- test; the population is all men.
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A) No, the researcher did not collect a large enough sample.
B) No, the population of interest is not large enough to assume independence.
C) Yes, all the conditions are satisfied.
D) No, the researcher did not collect a random sample.
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A) The samples must be independent of each other.
B) The observations within each sample must be independent of one another.
C) Each sample must be a random sample.
D) All of these are conditions that must be checked to proceed with a two- sample test.
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Multiple Choice
A) The p- value tells us that the probability of concluding that the defect rate is equal to 0.07, when in fact it is greater than 0.07, is approximately 0.087.
B) The p- value tells us that the true population rate of defective light bulbs is approximately 0.087.
C) The p- value tells us that if the defect rate is 0.07, then the probability that the janitor will have 27 defective light bulbs out of 300 is approximately 0.087. At a significance level of 0.05, this would not be an unusual outcome.
D) None of these
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A) The significance level of 0.05 is the defect rate we believe is the true defect rate.
B) The significance level of 0.05 is the probability of concluding that the defect rate is equal to 0.07 when in fact it is greater than 0.07.
C) The significance level of 0.05 is the test statistic that we will use to compare the observed outcome to the null hypothesis.
D) The significance level of 0.05 is the probability of concluding that the defect rate is higher than 0.07 when in fact the defect rate is equal to 0.07.
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