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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Three box plots of gas prices are given with questions on spread, skewness, outliers, and IQR.
Asking for the discrete probability and the 2 conditions that determine probability distribution.