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
Independent ttest
This lesson is locked
This lesson is called Independent ttest, part of the Inferential Statistics with R course. This lesson is called Independent ttest, 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
Perform an independent samples ttest to test whether there is a difference in
exam_1
byathlete
. Usevar.equal = TRUE
. Is there a difference? What is the pvalue?Perform an independent samples ttest to test whether there is a difference in
act_english
bygender
. Usevar.equal = TRUE
. Is there a difference? What is the pvalue?
Notice what happens since gender has 3 levels. Try out using the filter()
function from dplyr
to only check the difference between Female and Male students. Alternatively, check out the page on t_test()
to see how to use the comparisons
argument to specify the groups to compare.
You need to be signedin to comment on this post. Login.