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Unformatted text preview: Homework problem set 2 * # 1. The probability distribution shown here describes a population of measure ments that can assume values of 0,2,4, and 6, each of which occurs with the same rel ative frequency: x 0 2 4 6 p ( x ) 1 4 1 4 1 4 1 4 a. List all the different samples of n = 2 measurements that can be selected from this population. b. Calculate the mean of each different sample listed in part a . c. If a sample of n = 12 measurements is randomly selected from the population, what is the probability that a specific sam ple will be selected? * updated on Feb.11 1 Additional four problems: P. 135, # 3.46; P. 232, # 5.10; P. 246, # 5.25; P. 248, # 5.44. (The numbering here is following the 11th edition.) In the 10th edition, the corresponding prob lems are: P. 143, # 3.46; P. 242, # 5.10; P. 258, # 5.23; P. 260, # 5.42. 2 Point estimator Recall: sample statistic and population pa rameter. The link is something called in ference that statisticians tend to carry out. Definition: A Point estimator of a popu lation parameter is a rule or formula which tells us how to use the sample data to cal culate a single number that can be used as an estimate of the population parameter. Examples: the sample mean x is a point estimator of the population mean ; sam ple variance s 2 is a point estimator of the population variance 2 ....
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This note was uploaded on 06/06/2011 for the course STAT 515 taught by Professor Zhao during the Spring '10 term at South Carolina.
 Spring '10
 Zhao
 Probability

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