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 illustrates R code for data wrangling, reshaping and combining data.
This app focuses on tests for proportions in a sports context (basketball free throw shooting). The app illustrates how a change in the population caused by filtering can change the results and also illustrates the difference between p, p̂, and p0.
The app requires students to engage with inference scenarios for a mean (or difference in means) in context. Users will explore the behavior of confidence intervals for a single mean and two sample tests for the difference in means as the level and sample size changes.
The app requires students to engage with inference scenarios for a proportion (or difference in proportions) in context. Users will explore the behavior of confidence intervals for a single proportion and two sample tests for the difference in proportions as the level and sample size changes.
This app is designed to help you see the benefit in terms of reduced bias when random assignment is used instead of haphazard assignment to treatment groups. The app also demonstrates the distribution of averages and proportions when random assignment is used.
This application is to help you better understand seasonality, long term trend and the random component of time series plots.
In this app, the user will explore common time series models with simulations and real data, and be challenged to review the material in a game.
This app explores the use of tree diagrams to find probabilities involving sequential and conditional situations.