QMS 202 Chapter Notes - Chapter 11: Type I And Type Ii Errors, Null Hypothesis, Confidence Interval

• School: Ryerson University
• Department: Quantitative Methods
• Course: QMS 202
• Professor: Daniel Mc Cleary

Document Summary

Qms chapter 11 fundamentals of hypothesis testing one-sample tests. Null hypothesis always one of status quo and is identified by the symbol ho: whenever a null hypothesis is specified, an alternative hypothesis is also specified, and it must be true of the null hypothesis is false. The alternative hypothesis, h1, is the opposite of the null hypotheses. The sampling distribution of the test statistic is divided into two regions, a region of rejection and a region of nonrejection. If the test statistic falls into the region of nonrejection, you do not reject the null hypothesis. If the test statistic falls into the region of rejection, you reject the null hypothesis. To make a decisions concerning the null hypothesis, you first determine the critical value: the critical value divides the nonrejection region from the rejection region, determining the critical value depends of the size of the rejection region.