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Chapter 7: The Central Limit Theorem

Q.10

Page 428

Find the sum that is 1.5 standard deviations below the mean of the sums.

Q.12

Page 428

Find the probability that the sum of the 40 values is less than 7,000.

Q. 15

Page 428

Find the percentage of sums between 1.5 standard deviations below the mean and one standard deviation above the mean.

Q.16

Page 428

Find the probability that the sum of the 100values is greater than 3,910.

q.2

Page 427

Complete the distributions.

a.X~ _____(_____,_____)

b. role="math" localid="1648618952256" X¯~_____(_____,_____)

Q.22

Page 428

An unknown distribution has a mean 12 and a standard deviation of one. A sample size of 25is taken.

LetX = the object of interest.

What is the mean of ΣX?

Q.29

Page 429

An unknown distribution has a mean of 25 and a standard deviation of six. Let X = one object from this distribution. What is the sample size if the standard deviation of ΣX is 42?

Q. 29

Page 429

An unknown distribution has a mean of 25 and a standard deviation of six. Let X = one object from this distribution. What is the sample size if the standard deviation of ΣX is 42?

Q.3

Page 427

Yoonie is a personnel manager in a large corporation. Each month she must review 16of the employees. From past experience, she has found that the reviews take her approximately four hours each to do with a population standard deviation of 1.2hours. Let Χ be the random variable representing the time it takes her to complete one review. Assume Χ is normally distributed. Let x-be the random variable representing the meantime to complete the 16reviews. Assume that the 16reviews represent a random set of reviews.

Find the probability that one review will take Yoonie from 3.5to 4.25hours. Sketch the graph, labeling and scaling the horizontal axis. Shade the region corresponding to the probability

b. P(________ <x< ________) = _______

Q. 39

Page 429

A manufacturer produces 25-pound lifting weights. The lowest actual weight is 24pounds, and the highest is 26pounds. Each weight is equally likely so the distribution of weights is uniform. A sample of 100weights is taken.

Find the probability that the mean actual weight for the 100 weights is greater than 25.2.

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