Transcription of Introduction to Hypothesis Testing
{{id}} {{{paragraph}}}
Example: bankruptcy
Introduction to Hypothesis Testing
CHAPTER8 Introduction to Hypothesis TestingLEARNING OBJECTIVESA fter reading this chapter, you should be able to:1 Identify the four steps of Hypothesis Define null Hypothesis , alternative Hypothesis , level of significance, test statistic, p value, and statistical Define Type I error and Type II error, and identify the type of error that researchers Calculate the one-independent sample z test and interpret the Distinguish between a one-tailed and two-tailed test, and explain why a Type III error is possible only with one-tailed Explain what effect size measures and compute a Cohen s d for the one-independent sample z Define power and identify six factors that influence Summarize the results of a one-independent sample z test in American Psychological Association (APA) Inferential Statistics and Hypothesis Four Steps to Hypothesis Hypothesis Testing and Sampling Making a Decision: Types of Testing a Research Hypothesis : Examples Using the z Te s Research in Focus: Directional Versus Nondirectional Measuring the Size of an Effect: Cohen s Effect Size, Power, and Sample Additional Factors That Increase SPSS in Focus: A Preview for Chapters 9 to APA in Focus: Reporting the Test Statistic and Effect Size2 PART III: PROBABILITY AND THE FOUNDATIONS OF INFERENTIAL INFERENTIAL STATISTICS AND Hypothesis TESTINGWe use inferential statistics because
We begin by stating the value of a population mean in a null hypothesis, which we presume is true. For the children watching TV example, we state the null hypothesis that children in the United States watch an average of 3 hours of TV per week. This is …
Loading..
Information
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document: