Below is a list of resource pages for using R to do statistics. On each page a set of data are explored with the software. Some commentary is given on interpretation but the main focus is on getting the software to do the work. What the numbers mean should come from your prior statistical training or the statistics.com course you are currently taking. Each page listed below has a title you can click on to read the page. Beneath the title is a list of topics covered on that page.

- Entering data
- Simple summary statistics
- Stem and leaf plots
- Histograms
- Boxplots
- Dotplots
- Logarithmic transformations
- Saving your data

- Simple summary statistics
- Boxplots comparing two groups
- Transformations

- Mode
- Tables
- Bar charts
- Pie charts

- One- and Two-Way Tables
- Probability and two-way tables

- Confidence interval
- Hypothesis test

- Confidence interval
- Hypothesis test

- One-way (Goodness of Fit)
- Two-way (Contingency Tables)

- Confidence interval
- Hypothesis test

- Confidence interval
- Hypothesis test

- Confidence interval
- Hypothesis test

- Straightening a curved relationship by transforming a variable

- Simple plots for each variable
- Scatterplots
- Correlation and covariance
- Running a regression
- Scatterplot with regression line
- Inference for regression coefficients
- Regression through the origin
- Scatterplot with multiple models
- Making predictions

- Reading data from a text file
- Correlations
- Regression with one or two independent variables
- Brief discussion of multicollinearity and autocorrelation
- Basic residual plots

- Reading text data files into R
- Stacking data
- Boxplots comparing multiple groups
- ANOVA

- Finding subgroup means
- Fitting an additive model
- Checking for interaction

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