Crash Course
Fitting Models Is like Tetris: Crash Course Statistics #35
Different statistical models tell people unique information about data. The 35th lesson in the Crash Course Statistics series describes two different statistic models: ANOVA and Repeated Measures ANOVA. The narrator of a short video...
Crash Course
Supervised Machine Learning: Crash Course Statistics #36
Use math to help predict the future. Viewers of the 36th Crash Course video covering statistics hear about machine learning. They see how logistic regression, linear discriminant analysis, and K nearest neighbors are all models that help...
Crash Course
ANOVA Part 2: Dealing with Intersectional Groups: Crash Course Statistics #34
A statistic of interest is often affected by multiple variables. Continuing from the previous lesson in the Crash Course Statistics playlist, the instructor explains how to apply the ANOVA calculations to multiple variables that have an...
Anywhere Math
Three-Dimensional Figures
Who knew there were so many parts to a geometric solid?! Well, you probably did, and your pupils will, too, after watching a video lesson on three-dimensional figures. Instruction includes a description of the parts of solids, naming...
Crash Course
ANOVA: Crash Course Statistics #33
How do you account for multiple variables when analyzing data? Following a lesson on regression, the 33rd lesson in the Crash Course Statistics series examines the ANOVA, analysis of variances, method of determining differences between...