OMIS 2010 Chapter Notes - Chapter 12: Interval Estimation, Statistical Inference, Confidence Interval

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

Document Summary

In this chapter, we presented the statistical inference methods used when the problem objective is to describe a single population. Sections 12. 2 and 12. 3 addressed the problem of drawing inferences about a single population when the data are quantitative. In section 12. 2, we introduced the interval estimator and the test statistic for drawing inferences about a population mean. However, in chapters 10 and 11 we operated under the unrealistic assumption that the population standard deviation was known. In this chapter, the population standard deviation was assumed to be unknown. Section 12. 3 presented the methods used to make inferences about a population variance. Finally, in section 12. 4 we addressed the problem of describing a single population when the data are qualitative. At the completion of this chapter, you are expected to know the following: how to apply the concepts and techniques of estimation and hypothesis testing introduced in. Inference about population mean when the population standard.