How to Perform a Normality Test on Minitab?

Minitab is a software package introduced in 1972 that uses econometric measures to analyse data. Various tertiary industries like healthcare, manufacturing, and education use this software for valuable calculations. Users get desired tools to perform statistical operations such as hypothesis testing, regression analysis, and ANOVA.

To perform a normality test in Minitab, you can follow the steps mentioned below:

1. Open Minitab on your device and enter your data into a worksheet.

2. Now from the “Stat” menu, select the option “Basic Statistics”.

3. Then click on the “Normality Test” option.

4. In the “Normality Test” dialogue box, select the variable you want to test for normality from the “Variables” list.

5. Click the “Options” menu and select the type of normality test you want to perform. Minitab offers a wide variety of options, including the Anderson-Darling test, the Chi-Square test, and the Kolmogorov-Smirnov test.

6. Finally, click “OK” to run the normality test.

Minitab will display the results of the normality test in the “Session” window. The p-value will indicate the probability that the data entered in the Minitab worksheet has come from a normally distributed population. Suppose the p-value is less than 0.05; it implies that the data you entered is not normally distributed as per mathematics. Consider normal distribution information in the case of all other values.

If the data are not normally distributed, consider using nonparametric statistical techniques. These techniques do not assume that the data come from a normally distributed population.

I hope this helps! Let me know in case of any queries regarding this issue.