Specify the data and the null hypothesis for your analysis.

Select the option that best describes your data.

Complete the following steps if your data are in a column of the worksheet:

- From the drop-down list, select One or more samples, each in a column.
- Enter the column of numeric data that you want to analyze.
###### Tip

Click in the empty field under the data arrangement list to see the available data columns for your chart.

In this worksheet, Cost contains the maintenance costs of a random sample of machines.

C1 |
---|

Cost |

43 |

55 |

34 |

87 |

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

- From the drop-down list, select Summarized data.
- Enter the summary statistics in Sample size, Sample mean, and Standard deviation.

If you want to calculate a p-value to determine whether the mean differs from a hypothesized mean, you must perform a hypothesis test.

- Use a hypothesis test to determine whether the population mean (denoted as μ,) differs significantly from the hypothesized value (denoted as μ
_{0}) that you specify. If you don't perform the test, Minitab still displays a confidence interval, which is a range of values that is likely to include the population mean. For more information, go to What is a hypothesis test?. - The Hypothesized mean defines your null hypothesis (H
_{0}: μ = μ_{0}). Think of this value as a target value or a reference value. For example, an engineer enters 3 to determine whether the mean width of electrical wire is different from 3 mm (H_{0}: μ = 3).