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Problem 1

A worker in the automobile industry works an average of 43.7 hours per week. If the distribution is approximately normal with a standard deviation of 1.6 hours, what is the probability that a randomly selected automobile worker works less than 40 hours per week?

Problem 1

If samples of a specific size are selected from a population and the means are computed, what is this distribution of means called?

Problem 1

Explain why a normal distribution can be used as an approximation to a binomial distribution.

Problem 1

What are the characteristics of a normal distribution?

Problem 2

What conditions must be met to use the normal distribution to approximate the binomial distribution?

Problem 2

Why do most of the sample means differ somewhat from the population mean? What is this difference called?

Problem 2

The average annual salary for all U.S. teachers is \(\$ 47,750\). Assume that the distribution is normal and the standard deviation is \(\$ 5680 .\) Find the probability that a randomly selected teacher earns a. Between \(\$ 35,000\) and \(\$ 45,000\) a year b. More than \(\$ 40,000\) a year c. If you were applying for a teaching position and were offered \(\$ 31,000\) a year, how would you feel (based on this information)?

Problem 3

What is the total area under the standard normal distribution curve?

Problem 3

The average daily jail population in the United States is 706,242. If the distribution is normal and the standard deviation is 52,145, find the probability that on a randomly selected day, the jail population is a. Greater than 750,000 b. Between 600,000 and 700,000

Problem 4

When is the normal distribution not a good approximation for the binomial distribution?

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