Given the average age of the consumer years ago along with what they believed the average age will do… determine the null and alternative hypothesis, whether the assumptions are satisfied, and the p-value.
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Given the sample size, the mean, the standard deviation, and the estimated mean age… run a hypothesis test determining the null, test statistic, p-value, and lastly whether to reject or fail to reject.
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Given the sample size, the mean, the standard deviation, and the amount they want to compare to… determine the null, the test statistic, the p-value, and lastly determine whether to reject or fail to reject the null.
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Given the sample size, the mean, the standard deviation, and the margin of error on a confidence interval… determine the sample size that would be needed to reach predetermined margins of error.
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Asks to find mean and standard deviation of right-handed people, probability not right-handed, probability no more then X right-handed people, the probability that there is X right-handed and X left-handed, probability majority right-handed.
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Asks to find how many children are expected to be nearsighted and standard deviation.
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Department of Transportation given percent of flights on time. Asks if Bernoulli.
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Given the mpg goal, the number of cars checked, the mean, the standard deviation, and the p-value cutoff level… determine the null and alternative hypothesis, describe the sampling distribution, and calculate the p-value.
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Given the desired level of kernels left unpopped, the sample size, the percentage of kernels unpopped in the sample, and the p-value cutoff level… determine the null and alternative while also calculating both the test statistic and p-value.
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You’re given a sample number of bids from potential buyers in a community. Then you’re given the average loss in home value and standard deviation from the sample. Then you’re given an average home loss value for a year. Then they ask you if the community studied was unusual and to use a t-test to decide if the average loss observed was significantly different from the regional average.
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