QTM 100 Lecture Notes - Lecture 14: Null Hypothesis, Statistical Parameter, Test Statistic

• School: Emory University
• Department: Quantitative Theory & Methods
• Course: QTM 100
• Professor: Prof.Gong

Document Summary

A hypothesis test is a method of using data to summarize the evidence about a hypothesis. We start with a null hypothesis (h. This is generally a statement of no effect. The research question is represented in the alternative hypothesis (h. This is a statement of effect, and it is what we are. We conduct the test assuming the null hypothesis is true. We then evaluate the test results to determine if there is enough evidence to reject the null in favor of the alternative (what we hope to show) 7 steps for significance test about a hypothesis: define the parameter of interest, hypotheses. Identify the appropriate test: assumptions, test statistic, p-value, conclusion. Steps for hypothesis testing: define the parameter of interest, so far, we are focusing on two types of parameters: Identify the appropriate test: for now, we are learning two tests: a. i. Significance test about a proportion (one sample z-test) a. ii.