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Problems related to the central limit theorem, focusing on finding probabilities and means of normally distributed data. The problems involve calculating probabilities for individual data points and means of groups, given mean and standard deviation values. The central limit theorem states that the distribution of the means of large random samples from a population approaches a normal distribution, regardless of the shape of the population distribution.
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a. If a woman between the ages of 18 and 24 is randomly selected, find the probability that her systolic blood pressure is above 120.
b. If 30 women in that age bracket are randomly selected, find the probability that their mean systolic blood pressure is greater than 120.
c. If a group of 30 twenty-four year old women had a mean systolic blood pressure greater than 120, what might we conclude.
a. If a person is selected at random, find the probability that a person consumes less than 224 pounds per year.
b. If a sample of 40 individuals is selected, find the probability that the mean of the sample will be less than 224 pounds per year.
a. Find the probability that a randomly selected adult will complete the test in less than 43 minutes.
b. Find the probability that if 50 randomly selected adults take the test, the mean time it takes the group to complete the test will be less than 43 minutes.
c. Does it seem reasonable that an adult would finish the test in less than 43 minutes?
d. Does it seem reasonable that the mean of 50 adults could be less than 43 minutes.