Given statistics of the price of gasoline taken from a sample… determine the confidence interval in three different scenarios.

They give you the percent of adults that have high cholesterol, the average cholesterol levels, the standard deviation, and the number in the sample, and ask you to calculate the mean and the standard deviation of the sample distribution.

Given the sample size, the daily average, and the standard deviation… construct a confidence interval.

Given the percent of adults with high cholesterol, the average and standard deviation of cholesterol levels, and the sample size… calculate the probability of the mean cholesterol of the sample to be in four different scenarios.

Given the average wind speeds, how often it is recorded, the total readings, the average speed, and the standard deviation… determine if all conditions are met and then calculate a confidence interval.

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.

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.