On the Data tab of the Chi-Square Goodness-of-Fit Test dialog box, specify the data for your analysis and set up the null hypothesis.

Select the option that best describes your data.

Complete the following steps if your categorical data are in one column.

- From the data drop-down list, select Categorical data in a column.
- In Categorical data, enter the column that contains the data.

In this worksheet, Color contains the categorical data and represents the color of each t-shirt in the sample.

C1 |
---|

Color |

Red |

Red |

Blue |

Yellow |

Red |

Blue |

Complete the following steps if you have observed counts that are summarized by category.

- From the data drop-down list, select Summarized data in a column.
- Enter the Observed counts and Category names, if you have them, for each sample. For example, in the following worksheet, the Counts column contains the data, and the Color column contains the categories.

In this worksheet, Counts contain the summarized counts of a sample of t-shirts by color. Color contains the category names that represent each t-shirt color.

C1 | C2 |
---|---|

Counts | Color |

121 | Red |

75 | Blue |

4 | Yellow |

Select the option that best describes what you want to test.

In Test, select Equal proportions to determine whether the proportions in each category are the same. For example, if your data include 3 categories, Minitab tests whether the proportion of each category is 0.33333, or 33.333%.

Complete the following steps to specify different proportions for each category.

- In Test, select Specified proportions.Minitab shows the categories from your worksheet.
- Under Proportion, enter the proportion that you want to test for each category.

Complete the following steps to specify the test proportions as historical counts.

- In Test, select Proportions based on historical counts.Minitab shows the categories from your worksheet.
- Under Counts, enter the counts for each category that you want to test.