Enter your data for 1 variance (Data tab)

On the Data tab of the 1 Variance dialog box, specify the data and the null hypothesis for your analysis.

Enter your data

Select the option that best describes your data.

Sample data in a column

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

  1. From the drop-down list, select Sample data in a column.
  2. In Sample, enter the column of data that you want to analyze.
In this worksheet, Length indicates the length of beams that are cut at a saw mill.
C1
Length
99.002
100.242
100.042
99.596

Sample standard deviation

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

  1. From the drop-down list, select Sample standard deviation.
  2. Enter the summary statistics in Sample size and Sample standard deviation.

Sample variance

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

  1. From the drop-down list, select Sample variance.
  2. Enter the summary statistics in Sample size and Sample variance.

Perform hypothesis test

Complete the following steps to perform a hypothesis test and to specify a hypothesized value. For more information, go to What is a hypothesis test?
  1. Select Perform hypothesis test to determine whether the population standard deviation (denoted as σ) or population variance (denoted as σ2) differs significantly from the hypothesized standard deviation (denoted as σ0) or hypothesized variance (denoted as σ20) 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 standard deviation or population variance.
  2. Enter a value in Hypothesized standard deviation or Hypothesized variance. This value defines your null hypothesis (H0: σ = σ0 or H0: σ2 = σ20). Think of this value as a target value or a reference value. For example, an engineer enters 0.8 to determine whether the standard deviation of pipe diameters is different from 0.8 mm (H0: σ = 0.8).
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