Minitab®
Access Minitab Web, using Google Chrome .
Click on the section to view the Minitab procedures.
After saving the Minitab File to your computer or cloud location, you must first open Minitab.
- To open a Minitab project (.mpx file): File > Open > Project
- To open a data file (.mtw, .csv or .xlsx): File > Open > Worksheet
Descriptive, graphical
- Bar Chart: Graph > Bar Chart > Counts of unique values > One Variable
- Pie Chart: Graph > Pie Chart > Counts of unique values > Select Options > Under Label Slices With choose Percent
Descriptive, numerical
- Frequency Tables: Stat > Tables > Tally Individual Variables
Inference (one proportion)
Hypothesis Test
- With raw data: Stat > Basic Statistics > 1 Proportion > Select variable > Check Perform hypothesis test and enter null value > Select Options tab > Choose correct alternative > Under method, choose Normal approximation
- With summarized data: Stat > Basic Statistics > 1 Proportion > Choose Summarized data from the dropdown menu > Enter data > Check Perform hypothesis test and enter null value > Select Options tab > Choose correct alternative > Under method, choose Normal approximation
Confidence Interval
- With raw data: Stat > Basic Statistics > 1 Proportion > Select variable > Select Options tab > Enter correct confidence level, make sure the alternative is set as not-equal, and choose Normal approximation method
Descriptive, graphical
- Histogram: Graph > Histogram > Simple
- Dotplot: Graph > Dotplot > One Y, Simple
- Boxplot: Graph > Boxplot > One Y, Simple
Descriptive, numerical
- Mean, Std. Dev., 5-number Summary, etc.: Stat > Basic Statistics > Display Descriptive Statistics > Select Statistics tab to choose exactly what you want to display
Inference (one mean)
Hypothesis Test
- With raw data: Stat > Basic Statistics > 1-Sample t > Select variable > Check Perform hypothesis test and enter null value > Select Options tab > Choose the correct alternative
- With summarized data: Stat > Basic Statistics > 1-Sample t > Select Summarized data from the dropdown menu > Enter data (n, x-bar, s) > Check Perform hypothesis test and enter null value > Select Options tab > Choose correct alternative
Confidence Interval
- With raw data: Stat > Basic Statistics > 1-Sample t > Select variable > Select Options tab > Enter correct confidence level and make sure the alternative is set as not-equal
- With summarized data: Stat > Basic Statistics > 1-Sample t > Select Summarized data from the dropdown menu > Enter data (n, x-bar, s) > Select Options tab > Enter correct confidence level and make sure the alternative is set as not-equal
Descriptive, graphical
- Side-by-side Histograms: Graph > Histogram > Under One Y Variable, select Groups Displayed Separately > Enter the categorical variable under Group Variables > Choose In separate panels of one graph under Display Groups
- Side-by-side Dotplots: Graph > Dotplot > One Y Variable, Groups Displayed on the Scale
- Side-by-side Boxplots: Graph > Boxplot > One Y, With Categorical Variables
Descriptive, numerical
- Mean, Std. Dev., 5-number Summary, etc.: Stat > Basic Statistics > Display Descriptive Statistics > Select variables (enter the categorical variable under By variables) > Select Statistics tab to choose exactly what you want to display
Inference (independent samples)
Hypothesis Test
- With raw data: Stat > Basic Statistics > 2-Sample t > Select variables (response/quantitative as Samples and explanatory/categorical as Sample IDs) > Select Options tab > Choose correct alternative
- With summarized data: Stat > Basic Statistics > 2-Sample t > Select Summarized data from the dropdown menu > Enter data > Select Options tab > Choose correct alternative
Confidence Interval
- Same as above, choose confidence level and make sure the alternative is set as not-equal
Inference (paired difference)
Hypothesis Test
- Stat > Basic Statistics > Paired t > Enter correct columns in Sample 1 and Sample 2 boxes > Select Options tab > Choose correct alternative
Confidence Interval
- Same as above, choose confidence level and make sure the alternative is set as not-equal
Descriptive, graphical
- Scatterplot: Graph > Scatterplot > Simple > Enter the response variable under Y variables and the explanatory variable under X variables
- Fitted Line Plot: Stat > Regression > Fitted Line Plot > Enter the response variable under Response (y) and the explanatory variable under Predictor (x)
Descriptive, numerical
- Correlation: Stat > Basic Statistics > Correlation > Select Graphs tab > Click Statistics to display on plot and select Correlations
- Fitted Line Plot: Stat > Regression > Fitted Line Plot > Enter the response variable under Response (y) and the explanatory variable under Predictor (x)
Inference
- Correlation: Stat > Basic Statistics > Correlation > Select Graphs tab > Click Statistics to display on plot and select Correlations and p-values
- Regression Line: Stat > Regression > Regression > Fit Regression Model > Enter the response variable under Responses and the explanatory variable under Continuous predictors > Select Results tab > Click Display of results and select Basic tables (Note: if you want the confidence interval for the population slope, change “display of results” to “expanded table.” With the expanded table, you will get a lot of information on the output that you will not understand.)
Descriptive, graphical
- Side-by-side Bar Charts with raw data: Graph > Bar Chart > Counts of unique values > Multiple Variables
- Side-by-side Bar Charts with a two-way table: Graph > Bar Chart > Summarized Data in a Table > Under Two-Way Table choose Clustered or Stacked > Enter the columns that contain the data under Y-variables and enter the column that contains your row labels under Row labels
Descriptive, numerical
- Two-way Table: Stat > Tables > Cross Tabulation and Chi-square
Inference (difference in proportions)
Hypothesis Test
- Using a dataset: Stat > Basic Statistics > 2 Proportions > Select variables (enter response variable as Samples and explanatory variable as Sample IDs) > Select Options tab > Choose correct alternative
- Using a summary table: Stat > Basic Statistics > 2 Proportions > Select Summarized data from the dropdown menu > Enter data > Select Options tab > Choose correct alternative
Confidence Interval
- Same as above, choose confidence level and make sure the alternative is set as not equal
Inference (Chi-squared test of association)
- Stat > Tables > Chi-Square Test for Association > Choose correct data option (raw or summarized) > Select variables > Select Statistics tab to choose the statistics you want to display
- Fit multiple regression model: Stat > Regression > Regression > Fit Regression Model > Enter the response variable under Responses, the quantitative explanatory variables under Continuous predictors, and any categorical explanatory variables under Categorical predictors > Select Results tab > Click Display of results and select Basic tables (Note: if you want the confidence intervals for the coefficients, change display of results to expanded table. You will get a lot of information on the output that you will not understand.)
- Make a prediction or prediction interval using a fitted model: Stat > Regression > Regression > Predict > Enter values for each explanatory variable