Summary of Minitab Commands

 

Graphical Displays

Bar Graphs - Graph > Chart
Pie Charts - Graph > Pie Chart
Dotplot - Graph > Dotplot
Histograms - Graph > Histogram
Stemplots - Graph > Stem-and-leaf
Boxplots - Graph > Boxplot

Describing and Summarizing Data

Mean, trimmed mean, median, standard deviation, quartiles, 5 number summary

Stat > Basic Statistics > Display Descriptive Statistics

Sorting - Data > Sort
Ranking - Data > Rank
Stacking - Data > Stack
Unstacking - Data > Unstack
Creating New Variables - Calc > Calculator

Standardizing a variable: z-Scores

Calc > Standardize

Association and relationship between 2 quantitative variables

Scatterplots - Graph > Scatterplot
Scatterplot Smoothing - Graph > Scatterplot > Data View > Smoother > LOWESS
Time plots -  Graph > Scatterplot OR Graph > Time series plot

Measuring the strength of association

Pearson's Correlation - Stat > Basic Statistics > Correlation

Fitting a line to data

Least squares regression line - Stat > Regression > Regression
Scatterplot with regression line - Stat > Regression > Fitted Line Plot

Prediction and assessing the fit

Fitted values and residuals - Stat > Regression > Regression > Storage > Fits and Residuals
Residual plots - Stat > Regression > Regression > Graphs

Nonlinear Relationships

Stat > Regression > Fitted Line Plot

Generating Random Numbers - Calc > Random Data

Any Probability Distribution - Graph > Probability Distribution Plot

Binomial Distributions - Calc > Probability Distributions > Binomial

Probability - P(X=x)
Cumulative Probability - P(X<=x)
Inverse Cumulative Probability - Find percentiles

Geometric Distributions - Calc > Probability Distributions Geometric

Poisson Distributions - Calc > Probability Distributions Poisson

Negative Binomial Distributions - Calc > Probability Distributions Negative Binomial

Confidence intervals and hypothesis tests for one proportion

Stat > Basic Statistics > 1 Proportion

Confidence intervals and hypothesis tests for two proportions

Stat > Basic Statistics > 2 Proportions

Confidence intervals and hypothesis tests for one mean

Stat > Basic Statistics > 1 Sample Z (not realistic)

Stat > Basic Statistics > 1-Sample t

Confidence intervals and hypothesis tests for one median

Stat > Nonparametrics > 1-Sample Sign

Confidence intervals and hypothesis tests for two means

Stat > Basic Statistics > 2-Sample t

Confidence intervals and hypothesis tests for two medians

Stat > Nonparametrics > Mann-Whitney

Confidence intervals and hypothesis tests for paired data

Stat > Basic Stats > Paired t

OR

Form differences (post-pre, before-after, second-first, etc.) and then use the one sample procedures on the differences.

Stat > Basic Statistics > 1-Sample t

OR

Stat > Nonparametrics > 1-Sample Sign

Inference and prediction for linear regression models

Stat > Regression > Regression

Inference for logistic regression models

Stat > Regression > Binary Logistic Regression

Hypothesis test and multiple comparisons for more than two means (One-way ANOVA Model)

Stat > ANOVA > One-way

Stat > ANOVA > One-way (unstacked)