Finding Statistical Significance with T-Tests
07:11 - 09:07
1m 56s
Explains how to use t-tests to find statistically significant differences between variables in the same study.
scientific method
statistics
statistical experiments
linear models

Comments

Please sign in to write a comment.
Video Transcript

Related Clips

Crash Course: Statistics: F-Test, SSR, SST, and SSE thumbnail
Crash Course: Statistics: F-Test, SSR, SST, and SSE
04:59
sum of squared errors
sum of squares regression
sum of squares total
statistics
statistical experiments
statistical predictions
linear models
How F-tests (including SSR, SSE, and SST) can help disprove null hypotheses.
Crash Course: Statistics: Main Effects and Interaction thumbnail
Crash Course: Statistics: Main Effects and Interaction
01:18
statistics
statistical experiments
linear models
Explains main effects and interaction between variables.
Crash Course: Statistics: Analysis of Covariance/ANCOVA thumbnail
Crash Course: Statistics: Analysis of Covariance/ANCOVA
03:31
analysis of covariance
statistics
statistical experiments
linear models
Explains the relevance of ANCOVA to linear models.
Crash Course: Statistics: Two-Way ANOVAs and SSBs thumbnail
Crash Course: Statistics: Two-Way ANOVAs and SSBs
04:27
analysis of variance
statistics
statistical experiments
linear models
Illustrates how to conduct a two-way ANOVA for interactive variables.
Crash Course: Statistics: Example: ANOVA Test thumbnail
Crash Course: Statistics: Example: ANOVA Test
01:43
analysis of variance
statistics
statistical experiments
linear models
An example of how to conduct an ANOVA test.