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Introduction to Probability and Statistics Study Set 1
Exam 5: Several Useful Discrete Distributions
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Question 61
Essay
Insulin-dependent diabetes (IDD) is a common chronic disorder of children. This disease occurs most frequently in persons of northern European descent. Let us assume that an area in Europe has an incidence of 6 cases per 100,000 per year. Can the distribution of the number of cases of IDD in this area be approximated by a Poisson distribution? ______________ What is the mean? ______________ What is the probability that the number of cases of IDD in this area is less than or equal to 3 per 100,000? ______________ What is the probability that the number of cases is greater than or equal to 3 but less than or equal to 7 per 100,000? ______________ Would you expect to observe 10 or more cases of IDD per 100,000 in this area in a given year? ______________ Why or why not? ________________________________________________________
Question 62
Short Answer
A random sample of 4 units is taken from a group of 15 items in which 4 units are known to be defective. Assume that sampling occurs without replacement, and the random variable x represents the number of defective units found in the sample. The mean of the random variable x is: ______________ The variance of the random variable x is: ______________ P(x = 0) = ______________ P(x = 1) = ______________ P(x = 2) = ______________ P(x = 3) = ______________ P(x = 4) = ______________
Question 63
True/False
The Poisson distribution is applied to events for which the probability of occurrence over a given span of time, space, or distance is large.
Question 64
True/False
The mean and variance of the Poisson distribution are equal.
Question 65
True/False
A warehouse contains six parts made by company A and ten parts made by company B. If four parts are selected at random from the warehouse, the probability that all four parts are from company B is approximately .008.