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.
This app introduces the concept of ANCOVA focusing on interpreting interaction plots.
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.
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The bias of a measurement describes to what degree it is systematically off target from the true value. The reliability of a measurement describes how consistent the measurement is when you repeat it. This app is designed to help with understanding those concepts.
This app explores the Chi-Square Goodness-fit Test for categorical data using simulations under the null hypothesis.
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.
This game is to help you better understand the numerical value of correlations for scatterplots with or without outliers.
This app is designed to demonstrate different counting techniques used in probability.
This app illustrates R code for data wrangling, reshaping and combining data.