Chapter 7: The Central Limit Theorem
Q.10
Find the sum that is standard deviations below the mean of the sums.
Q.12
Find the probability that the sum of the values is less than .
Q. 15
Find the percentage of sums between 1.5 standard deviations below the mean and one standard deviation above the mean.
Q.16
Find the probability that the sum of the values is greater than .
q.2
Complete the distributions.
a. _____(_____,_____)
b. role="math" localid="1648618952256" _____(_____,_____)
Q.22
An unknown distribution has a mean 12 and a standard deviation of one. A sample size of is taken.
Let = the object of interest.
What is the mean of ?
Q.29
An unknown distribution has a mean of and a standard deviation of six. Let = one object from this distribution. What is the sample size if the standard deviation of is ?
Q. 29
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
Yoonie is a personnel manager in a large corporation. Each month she must review of 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 hours. Let Χ be the random variable representing the time it takes her to complete one review. Assume Χ is normally distributed. Let be the random variable representing the meantime to complete the reviews. Assume that the reviews represent a random set of reviews.
Find the probability that one review will take Yoonie from to hours. Sketch the graph, labeling and scaling the horizontal axis. Shade the region corresponding to the probability

b. P(________ <x< ________) = _______
Q. 39
A manufacturer produces -pound lifting weights. The lowest actual weight is pounds, and the highest is pounds. Each weight is equally likely so the distribution of weights is uniform. A sample of weights is taken.
Find the probability that the mean actual weight for the weights is greater than .