Summary of Minitab Commands

Chapters 1 and 3

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

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

Chapter 4

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

Graphical Displays

Boxplots - Graph > Boxplot

z-Scores

Calc > Standardize

Chapter 5

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

Logistic Regression

Stat > Regression > Binary Logistic Regression

Chapter 6

Generating Random Numbers - Calc > Random Data

Any Probability Distribution - Graph > Probability Distribution Plot

Binomial Distributions - Calc > Probability Distributions Binomial

Probability - P(B=b)
Cumulative Probability - P(B<=b)
Inverse Cumulative Probability - Find percentiles

Chapter 7

Uniform Distributions - Calc > Probability Distributions Uniform

Probability Density - height of probability density curve
Cumulative Probability - P(U<=u)
Inverse Cumulative Probability - Find percentiles

Normal Distributions - Calc > Probability Distributions Normal

Probability Density - height of probability density curve
Cumulative Probability - P(Z<=z)
Inverse Cumulative Probability - Find percentiles

Chapter 9

Confidence Intervals for a Population Proportion

Stat > Basic Statistics > 1 Proportion

Confidence Intervals for a Population Mean

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

Stat > Basic Statistics > 1-Sample t

Confidence Intervals and Hypothesis Tests for a Population Median

Stat > Nonparametrics > 1-Sample Sign

Chapter 10

Hypothesis Tests for a Population Proportion

Stat > Basic Statistics > 1 Proportion

Hypothesis Tests for a Population Mean

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

Stat > Basic Statistics > 1-Sample t

Confidence Intervals and Hypothesis Tests for a Population Median

Stat > Nonparametrics > 1-Sample Sign

Power and sample size calculations with Minitab

Stat > Power and Sample Size

Chapter 11

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

Confidence Intervals and Hypothesis Tests for Two Population Proportions

Stat > Basic Statistics > 2 Proportions

Chapter 12

Hypothesis Tests for Univariate Data

Stat > Tables > Chi-square Goodness-of-fit Test

Hypothesis Tests for Association or Equal Proportions

Stat > Tables > Cross Tabulation and Chi-square

OR

Stat > Tables > Chi-square Test

Chapter 13

Linear Regression Model

Stat > Regression > Regression

Chapter 15

One-way ANOVA Model

Stat > ANOVA > One-way

Stat > ANOVA > One-way (unstacked)