r.v. with the following probability distribution Let Y be a P(Y= 0) = 0.22 and P(Y = 1) = 0.78 we developed the sampling distribution of sample means (Y) for n = 2 and n = 5. In this exercise, we are going to develop sampling distributions of sample medians and sample maximums. a) Suppose we take three draws from this distribution, Y₁, Y₂ and Y3, and then compute sample median (denoted by M) and sample maximum (denoted by X). What are the sampling distributions of M and X? Also, represent their distributions on a bar chart. b) Repeat the same exercise in the previous part for n = 5. c) In each case, compute the expected value and the variance of M and X. How do they compare to the population distribution Y? Does anything change as the sample size increases?
r.v. with the following probability distribution Let Y be a P(Y= 0) = 0.22 and P(Y = 1) = 0.78 we developed the sampling distribution of sample means (Y) for n = 2 and n = 5. In this exercise, we are going to develop sampling distributions of sample medians and sample maximums. a) Suppose we take three draws from this distribution, Y₁, Y₂ and Y3, and then compute sample median (denoted by M) and sample maximum (denoted by X). What are the sampling distributions of M and X? Also, represent their distributions on a bar chart. b) Repeat the same exercise in the previous part for n = 5. c) In each case, compute the expected value and the variance of M and X. How do they compare to the population distribution Y? Does anything change as the sample size increases?
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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VIEWStep 2: Compute the sample median(M) and sample maximum(X).
VIEWStep 3: Determine the sampling distributions of M and X.
VIEWStep 4: Repeat the same exercise in the previous part for n = 5.
VIEWStep 5: Compute the expected value and the variance of M and X for each case.
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