OMIS 2010 Chapter 10: Chapter 10 Textbook Study Guide

• School: York University
• Department: Operations Management and Information System
• Course: OMIS 2010
• Professor: Alan Marshall

Document Summary

This chapter introduced estimation, a form of statistical inference. Make certain that you understand the sampling distribution of the mean before proceeding. This section dealt with the fundamental concepts of estimation. You are expected to know the mean- ing of the terms introduced in this chapter and understand why estimation is necessary in most practical situations. 10. 2 define each of the following terms: unbiased estimator, consistent estimator. 10. 3 explain why x is an unbiased estimator of . 10. 4 explain why s2 is an unbiased estimator of 2. 10. 5 explain why x is a consistent estimator of . 10. 3 estimating the population mean value when the population standard deviation is known. We presented the technique to produce a interval estimate of a population mean when the population variance is known. It is assumed that the population variance is known. The confidence level is equal to 1 , and from this value you need to be able to determine z / 2.