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Using the given data set, find (a) the sample mean, (b) the sample standard deviation, (c) construct a 98% confidence interval for the population mean μ. Assume the data set is normally distributed. The monthly incomes for 14 randomly selected people, each with a bachelor's degree in economics (adapted from U.S. Bureau of Labor Statistics)
5418.76 5278.63 5912.05 6118.35 5647.86 5714.385365.19 5524.91 5761.57 4924.16 5494.66 5619.746205.64 5801.23
To report their finding they want to create a 90% confidence interval. What would be the margin error for this confidence interval?
To determine whether there exists mean difference among the groups:
The times needed to fall asleep are assumed to follow a normal distribution. The results for the two nights for the ten volunteers are shown below:
Find the probability that the number who considers themselves baseball fans is (a) exactly eight (b)at least eight and (c) less than eight. If possible use technology to find the probabilities.
For each of the following three populations, indicate what the sampling distribution for samples of 25 would consist of: Travel expense vouchers for a university in an academic year.
She is also indifferent between L3=(1,B) and L4=(0.7, A; 0.3 C). If Patty wants to take the course that maximizes the expected utility of her ?nal grade, which course should she take?
On a test with a population mean of 75 and standard deviation equal to 16, if the scores are normally distributed, what percentage of scores fall below a score of 83.8?
Assume your statistics professor reports test grades as z-scores, and you got a score of 2.20 on the midterm exam. Write down a sentence explaining what that means.
Women's heights are normally distributed with mean 63.6 and standard deviation of 2.5 in. A social organization for tall people has a requirement that women must be at least 70 in tall.
A random sample of 20 patients in a weight loss clinical trial lost an average of 25 pounds over an 8 week period. The sample standard deviation is 10.
At 0.05 level of significance, is there evidence of noteworthy difference in variation in sales among different aisle locations?
John runs a computer software store. He counted 130 people who walked by his store in a day, 59 of whom came into the store. Of the 59, only 24 bought something in the store.
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