Assume a population of 46, 50, 52, and 57. Assume that samples of size n=2 are randomly selected with replacement from the population. Listed below are the sixteen different samples. Complete parts (a) through (c). 46,46 46,52 46,50 52,50 52,46 52,52 46,57 52,57 50,46 57,46 50,50 57,50 50,52 57.52 (Type integers or simplified fractions. Use ascending order of the sample medians.) b. Compare the population median to the mean of the sample medians. Choose the correct answer below. a. Find the median of each of the sixteen samples, then summarize the sampling distribution of the medians in the format of a table representing the probability distribution o the distinct median values. Use ascending order of the sample medians. Sample Median Probability Sample Median Probability 50,57 57,57 A. The population median is equal to half of the mean of the sample medians. O B. The population median is not equal to the mean of the sample medians (it is also not half or double the mean of the sample medians). O C. The population median is equal to double the mean of the sample medians. D. The population median is equal to the mean of the sample medians. c. Do the sample medians target the value of the population median? In general, do sample medians make unbiased estimators of population medians? Why or why not? OA. The sample medians do not target the population median, so sample medians are biased estimators, because the mean of the sample medians does not equal the population median. B. The sample medians target the population median, so sample medians are biased estimators, because the mean of the sample medians equals the population median. OC. The sample medians do not target the population median, so sample medians are unbiased estimators, because the mean of the sample medians does not equal the population median. O D. The sample medians target the population median, so sample medians are unbiased estimators, because the mean of the sample medians equals the population median.

Assume a population of 46, 50, 52, and 57. Assume that samples of size n=2 are randomly selected with replacement from the population. Listed below are the sixteen different samples. Complete parts (a) through (c). 46,46 46,52 46,50 52,50 52,46 52,52 46,57 52,57 50,46 57,46 50,50 57,50 50,52 57.52 (Type integers or simplified fractions. Use ascending order of the sample medians.) b. Compare the population median to the mean of the sample medians. Choose the correct answer below. a. Find the median of each of the sixteen samples, then summarize the sampling distribution of the medians in the format of a table representing the probability distribution o the distinct median values. Use ascending order of the sample medians. Sample Median Probability Sample Median Probability 50,57 57,57 A. The population median is equal to half of the mean of the sample medians. O B. The population median is not equal to the mean of the sample medians (it is also not half or double the mean of the sample medians). O C. The population median is equal to double the mean of the sample medians. D. The population median is equal to the mean of the sample medians. c. Do the sample medians target the value of the population median? In general, do sample medians make unbiased estimators of population medians? Why or why not? OA. The sample medians do not target the population median, so sample medians are biased estimators, because the mean of the sample medians does not equal the population median. B. The sample medians target the population median, so sample medians are biased estimators, because the mean of the sample medians equals the population median. OC. The sample medians do not target the population median, so sample medians are unbiased estimators, because the mean of the sample medians does not equal the population median. O D. The sample medians target the population median, so sample medians are unbiased estimators, because the mean of the sample medians equals the population median.

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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