Single-factor analysis of variance refers to the method of analyzing single-factor test results and testing whether factors have a significant impact on the test results. One-way analysis of variance is an extension of the comparison of two sample means. It is a statistical method used to test the differences between multiple means to determine whether factors have a significant impact on the test results.
Factor: a certain indicator or variable that affects the research object.
Level: Various states of factor changes or levels or groups of factor changes.
Single factor test: A test that considers only one factor is called a single factor test.
If you only have two samples, you can use the worksheet function TTEST. If there are more than two samples, the convenient TTEST induction is not available and the One-Way ANOVA model can be called instead.
(1) Create a worksheet and enter data:
Enter data
(2) Select "Data Analysis" from the "Data" tab, select "Analysis of Variance: Single Factor" from the "Data Analysis" list box, and click "OK" to pop up the single-factor analysis of variance dialog box.
Data Analysis Tools Dialog Box
One-way Analysis of Variance Dialog Box
Output results of variance analysis
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