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the average hourly wage of workers at a fast food restaurant is 6.50 per hour with a standard deviation of .45$. assume that the distribution is normally distributed. if a worker at this fast food restaurant is selected at random, what is the probability that the worker earns more than 6. 75.
A major department store chain is interested in estimating the average amount its credit card customers spent on their first visit to the chain's new store in the mall.
Calculating the probability of all of them getting to their destination on time. Choose the best answer of the following: This is an example of a Poisson probability experiment
Here are heart rates for a sample of 30 students before and after a class break. At alpha =.05, was there a significant diffeence in the mean heart rate?
The table given below shows numbers of patients classified as underweight, normal weight, overweight and obese according to their diabetes status. Determine the probability that they are overweight?
How many bolts should be sampled in order to make us 95% confident that the sample mean bolt length is within .02 inches of the true mean bolt length?
Find out the range of the following set of whole numbers: 12, 13, 15, 17, 12, 18, 12, 19, 13, 12, 14, 13, 12, 15
100 M&M candies are randomly selected. The 100 weights have a standard deviation of 0.0518 g. Construct a 95% confidence interval estimate of the standard deviation of weights of all M&Ms.
A random sample of students is selected, and each one is asked to try first brand A and then brand B, or vice versa with the order determined at random.
What happens to the confidence interval and the power of the test at a particular point of interest
A sample of 81 business managers on the West Coast had an average breakfast cost of $7.65. 13. At a = 0.05, what is the test value?
Use the graph of f(x)= x^ to match the function to its corresponding graph. In words describe the transformation that occurs (ex: The graph of f(x) is shifted 6 units to the left).
Cumulative frequency distribution, histogram, ogive and stem and leaf display. Calculate appropriate summary statistics. Incorporate these graphs and statistics into a well written summary
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