This app is used to let the student learn about the concept of allocation method used in stratified random sampling.
Category / Upper Division Apps
ANOVA Models
When designing ANOVA models, a crossed design is used when every possible combination of the levels of different factors are applied to experimental units. A nested design is used when each level of one factor can only be combined with one level of another factor. This app demonstrates the differences between creating model designs for crossed and nested ANOVAs.
ANCOVA
This app introduces the concept of ANCOVA focusing on interpreting interaction plots.
Assumptions of ANOVA
This app explores the assumptions that are needed for inferences in linear models such as ANOVA, ANCOVA, and models with blocking, random effects, and repeated measures.
2
Bayesian Inference and Hypothesis Testing
This app is focused on the Bayesian inference, Bayesian hypothesis testing and Bayes factor.
Bayes Theorem
This app is designed to demonstrate Bayes’ Theorem using the classic example of disease incidence.
Box-Cox Transformation
This app explores the use of the Box-Cox Transformation technique in real datasets to make data approximate to normal.
3
Chi-Square Goodness of Fit Test
This app explores the Chi-Square Goodness-fit Test for categorical data using simulations under the null hypothesis.
Chi-Square Independence Test
In this app you will explore examples of the Chi-Square Test of Independence; you will also be able to test your own dataset. The Fill in the Blanks exercise would serve to test your understandings about this topic.
Counting Techniques
This app is designed to demonstrate different counting techniques used in probability.