Select the option that best describes your data.

Complete the following steps if your data 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 numeric data that you want to analyze.
- In Sample IDs, enter the column that contains the group that each observation corresponds to.
- In Number of resamples, enter the number of times Minitab should take resamples of your data. Minitab takes a resample by repeatedly sampling with replacement from the original dataset. The sample size for each resample is equal to the sample size of the original dataset.
You can enter any value from 1 to 10,000. Usually, a large number of resamples works best.

In this worksheet, Rating contains samples of patient satisfaction ratings of two hospitals. Hospital contains the sample IDs and indicates whether each rating corresponds to hospital A or to hospital B.

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

Rating | Hospital |

81 | A |

77 | B |

75 | A |

74 | B |

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 numeric data that you want to analyze.
- In Sample 2, enter the second column of numeric data that you want to analyze.
- In Number of resamples, enter the number of times Minitab should take resamples of your data. Minitab takes a resample by repeatedly sampling with replacement from the original dataset. The sample size for each resample is equal to the sample size of the original dataset.
You can enter any value from 1 to 10,000. Usually, a large number of resamples works best.

In this worksheet, Hospital A is sample 1 and contains the patient satisfaction ratings from one hospital. Hospital B is sample 2 and contains the ratings from a second hospital.

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

Hospital A | Hospital B |

81 | 77 |

75 | 74 |

77 | 70 |

78 | 71 |