Get access to all lessons in this course.

Welcome
 Welcome to Inferential Statistics with R
 Introduction to the Dataset

ttests
 Independent ttest
 Dependent ttest

OneWay ANOVA
 OneWay ANOVA
 Post Hoc Comparisons
 Other ANOVA Tests

ChiSquare
 ChiSquare
 Dealing with Small Cells

Correlation
 Correlation

Regression
 Linear Regression
 Multiple Regression
 Hierarchical Regression

Reliability
 Reliability

Reporting Results
 Extracting Output
 Reporting Results

Testing Assumptions
 Testing Assumptions
 Testing for Normality
 Testing for Homogeneity of Variance
 Violated Assumptions
Inferential Statistics with R
Testing for Normality
This lesson is locked
This lesson is called Testing for Normality, part of the Inferential Statistics with R course. This lesson is called Testing for Normality, part of the Inferential Statistics with R course.
If the video is not playing correctly, you can watch it in a new window
Transcript
Click on the transcript to go to that point in the video. Please note that transcripts are auto generated and may contain minor inaccuracies.
Your Turn
Using each of the three methods, test whether age
is normally distributed. Come to a conclusion: is age normally distributed?
Learn More
Read more about testing for normality in R.
You need to be signedin to comment on this post. Login.