Worksheet, Data Management, and the Calculator

Opening an Excel file in Minitab

Opening data from Access using ODBC

Stacking several columns together

Stacking blocks of columns at the same time

Transposing the columns of a worksheet

Splitting a worksheet by categorical column

Creating a subset of data in a new worksheet

Extracting values from a date/time column

Calculator – using an if statement

Coding a numeric column to text values

Cleaning up a text column with the calculator

Finding the Tally of a categorical column

Building a table of descriptive statistics

Creating bar charts of categorical data

Creating a bar chart with a numeric response

Creating a scatterplot of two variables

Finding the mean to a 95 percent confidence on interval plots

Using probability plots to check the distribution of two sets of data

Adding a secondary axis to a time series plot

Producing a graphical summary of data

Checking if data follows a normal distribution

Comparing the population mean to a target with a 1-Sample t-test

Using the Power and Sample Size tool for a 1-Sample t-test

Using the Assistant menu for a 1-Sample t-test

Looking for differences in the population means between two samples with a 2-Sample t-test

Using the Power and Sample Size tool for a 2-Sample t-test

Using the Assistant menu to run the 2-Sample t-test

Finding critical t-statistics using the probability distribution plot

Finding correlation between multiple variables

Graphically presenting the 1 Proportion test

Using the Power and Sample Size tool for a 1 Proportion test

Testing two population proportions with the 2 Proportions test

Using the Power and Sample Size tool for a 2 Proportions test

Using the Assistant menu to run a 2 Proportions test

Finding the sample size to estimate a mean to a given margin of error

Using Cross tabulation and Chi-Square

Using equivalence tests to prove zero difference between the mean and a target

Calculating the sample size for a 1-Sample equivalence test

Using a one-way ANOVA with unstacked columns

Calculating power for the one-way ANOVA

Using Assistant to run a one-way ANOVA

Using GLM for unbalanced designs

Analyzing a fully nested design

The repeated measures ANOVA – using a mixed effects model

Finding the critical F-statistic

Regression and Modeling the Relationship between X and Y

Visualizing simple regressions with fitted line plots

Using the Assistant tool to run a regression

Multiple regression with linear predictors

Model selection tools – the best subsets regression

Model selection tools – the stepwise regression

Fitting a nonlinear regression

Understanding Process Variation with Control Charts

Xbar-R charts and applying stages to a control chart

Using the Assistant tool to create control charts

Attribute charts' P (proportion) chart

Testing for overdispersion and Laney P' chart

Testing for overdispersion and Laney U' chart

Finding small shifts with EWMA

Control charts for rare events – T charts

Capability, Process Variation, and Specifications

A capability and control chart report using the capability analysis sixpack

Capability analysis for normally distributed data

Capability analysis for nonnormal distributions

Using a Box-Cox transformation for capability

Using a Johnson transformation for capability

Using the Assistant tool for short-run capability analysis

Comparing the capability of two processes using the Assistant tool

Creating an acceptance sampling plan for variable data

Creating an acceptance sampling plan for attribute data

Comparing a previously defined sampling plan – C = 0 plans

Generating tolerance intervals for summarized data

Datasets that do not transform or fit any distribution

Analyzing a crossed Gage R&R study

Checking Gage linearity and bias

Expanding a Gage study with extra factors

Studying a go / no go measurement system

Using the Assistant tool for Gage R&R

Attribute Gage study from the Assistant menu

Finding the principal components of a set of data

Using factor analysis to identify the underlying factors

Analyzing consistency of a test paper using item analysis

Finding similarity in results by rows using cluster observations

Finding similarity across columns using cluster variables

Identifying groups in data using cluster K-means

Analyzing two-way contingency tables with a simple correspondence analysis

Studying complex contingency tables with a multiple correspondence analysis

Time series predictions without trends or seasonal variations

Exec macros to repeat simple commands

Building a Global macro to create a custom graph layout

Obtaining input from the session window with a Global macro

Local macros with subcommands, submacros, and control statements

Navigating Minitab and Useful Shortcuts