Which table analyses are included in Minitab?

Minitab offers several analyses to summarize and perform tests on count and categorical data.

Tally individual variables

List the unique values in a column and count the number of times each value occurs. Your data must be arranged as columns of raw data. In Minitab, choose Stat > Tables > Tally Individual Variables.

Chi-square test for association

To determine whether two categorical variables are associated, use a chi-square test for association. For example, determine whether the sales for different colors of cars depends on the city where they are sold. Your data can be arranged as columns of raw data, or summarized in a contingency table. In Minitab, choose Stat > Tables > Chi-Square Test for Association.

Cross tabulation and chi-square analysis

To summarize data for multiple groups or categories, or test for association between two categorical variables, use a cross tabulation and chi-square analysis. For example, show how many defective parts were created on different production lines, during each shift. Your data can be arranged as columns of raw data, or summarized as frequency data, or summarized in a contingency table. In Minitab, choose Stat > Tables > Cross Tabulation and Chi-Square.

Chi-square goodness-of-fit test

To determine whether the proportions in each category differ from the expected proportions, use a chi-square goodness-of-fit test. For example, a researcher wants to determine whether the proportions of people who prefer certain colors of shoes agree with specified values. Your data can be arranged as columns of raw data, or summarized as frequency data. In Minitab, choose Stat > Tables > Chi-Square Goodness-of-Fit Test (One Variable).

Descriptive statistics

To summarize data for groups that are formed by two or more categorical variables, in Minitab, choose Stat > Tables > Descriptive Statistics. Your data can be arranged as columns of raw data, or summarized as frequency data.