EME 210
Data Analytics for Energy Systems

Geography Department(link is external) Penn State(link is external)

Summary and Final Tasks

Summary and Final Tasks

Summary

This lesson has covered two types of hypotheses tests to use when you have more than two samples or groups:

Chi-square test: for samples/groups of a categorical variable
ANOVA: for samples/groups of a quantitative variable

Thus, chi-square tests compare proportions across the groups, and ANOVA compares means, and the hypotheses for these tests are:

Hypothesis	Chi-Square Test	One-way ANOVA
Null	$H_O:$ Defines proportions, $p_i$ , for all $k$ categories	$H_O:$ All population means, $\mu_i$ , are equal for all $k$ categories
Alternative	$H_A:$ At least one $p_i$ is not as specified	$H_A:$ At least one $\mu_i$ is not equal to the others

Assess it: Check Your Knowledge Quiz

Reminder - Complete all of the Lesson 7 tasks!

You have reached the end of Lesson 7! Double-check the to-do list on the Lesson 7 Overview page to make sure you have completed all of the activities listed there before you begin Lesson 8.