# Software Resources for Minitab

Below is a list of resource pages for using Minitab 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.

## Getting Started

• Entering data
• Simple summary statistics
• Stem and leaf plots
• Histograms
• Boxplots
• Dotplots
• Logarithmic transformations

## Summarizing Quantitative Data

• Simple summary statistics comparing two groups
• Boxplots comparing two groups
• Transformations
• Interpreting outliers

• Mode
• Tables
• Bar charts
• Pie charts

## Summarizing One or Two Categorical Variables

• One- and Two-Way Tables
• Bar charts
• Pie charts

## Interpreting Two-Way Tables

• Probability and two-way tables
• Fixing data errors

## Inference for One Proportion

• Confidence interval
• Hypothesis test

## Inference for Two Proportions

• Recoding data
• Confidence interval
• Hypothesis test

## Chi-Squared Tests

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

## Inference for a Single Mean

• Confidence interval
• Hypothesis test

## Inference for Two Means (Independent Samples)

• Confidence interval
• Hypothesis test

## Inference for Paired Differences

• Confidence interval
• Hypothesis test

## Simple Linear Regression

• Opening data files
• Simple plots for each variable
• Scatterplots
• Correlation and covariance
• Running a regression
• Scatterplot with regression line
• Inference for regression coefficients
• Regression through the origin
• Making predictions
• Durbin-Watson statistic

## Regression with Two Independent Variables

• Correlations
• Regression with one or two independent variables
• Brief discussion of multicollinearity and autocorrelation
• Basic residual plots

## Multiple Regression with Quantitative Independent Variables

The link takes you to a page describing the example data from which you can then link to pages for different software packages.

• Scatterplots
• Running a multiple regression
• Regression diagnostics
• Detecting and dealing with outliers
• Predictions
• Residual plots

## Transformations

• Boxplot of one variable
• Scatterplot of two variables
• Doing common transformations with Minitab
• Assessing the impact of a transformation

## Multiple Regression with Qualitative Independent Variables I

The link takes you to a page describing the example data from which you can then link to pages for different software packages.

• Scatterplots with subgroups shown
• Creating indicator (0-1) variables
• Running a multiple regression with a 0-1 variable
• Interpreting a multiple regression with a 0-1 variable
• Creating interaction terms
• Running a multiple regression with an interaction term
• Interpreting a multiple regression with an interaction term
• Predictions

## Multiple Regression with Qualitative Independent Variables II

• Scatterplots with three or more subgroups shown
• Creating indicator (0-1) variables for three or more groups
• Running a multiple regression with multiple 0-1 variables
• Regression diagnostics
• Interpreting a multiple regression with multiple 0-1 variables
• Creating interaction terms
• Running a multiple regression with two or more interaction terms
• Interpreting a multiple regression with two or more interaction terms
• Testing a subset of the independent variables

## One-way Analysis Variance

• Stacking data
• Boxplots comparing multiple groups
• ANOVA
• ANOVA diagnostics

## Two-way Analysis Variance

• Finding subgroup means