On the Data tab of the 2 Proportions dialog box, select the option that best describes your data.

Complete the following steps if your observations are in one column and group identifiers are in a second column.

- From the drop-down list, select Both samples are in one column.
- In Samples, enter the column of data that you want to analyze.
- In Sample IDs, enter the column that contains the group that each observation corresponds to.
- In Event, select the outcome that Minitab uses as the event (also called success).

In this worksheet, Employed is the sample and indicates whether each student in a sample got a summer job. Gender contains the sample IDs and indicates the gender of each student. The event is Yes.

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

Employed | Gender |

Yes | Male |

Yes | Male |

Yes | Female |

No | Female |

Complete the following steps if the data for each group are in different columns.

- From the drop-down list, select Each sample is in its own column.
- In Sample 1, enter the first column of data that you want to analyze. The data must include two distinct values, such as True and False.
- In Sample 2, enter the second column of data that you want to analyze. The data must include two distinct values.
- In Event, select the outcome to use as the event (also called success).

In this worksheet, Male is sample 1 and indicates whether each male student got a summer job. Female is sample 2 and indicates whether each female student got a summer job. The event is Yes.

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

Male | Female |

Yes | Yes |

Yes | No |

No | Yes |

Yes | No |

Complete the following steps if you have summary statistics for the two samples, rather than actual sample data in the worksheet.

- From the drop-down list, select Summarized data.
- In Number of events, enter the number of successes. For example, if you want to determine the proportion of defective parts, the number of events would equal the number of defective parts.
- In Number of trials, enter the total number of observations. For example, if you want to determine the proportion of defective parts, the number of trials would equal the total number of parts that you sampled.