Analysis of Variance, or ANOVA, is a statistics technique used to compare the means of two samples. ANOVA tests are conducted assuming that the means of the samples analyzed are the same, and creates an "F" statistic used to accept or reject this assumption. This test is often used to compare three or more samples. Due to the nature of the technique, reporting it can often be difficult. Using a consistent way to report ANOVA results will save you time and help your readers better understand this test.
Prepare a standard table for your ANOVA results, including a row for every sample type and columns for samples, sum of the squares, Degrees of Freedom, F values and P values.
Start your report with an informal description in plain language. Indicate the type of analysis of variance conducted. Indicate the test conducted, the independent variable and the dependent variable, and enumerate the conditions of the test.
Write the formal conclusions of your test using statistical data. Mention the conclusion, the effects of the variables, and the F and probability value. The conclusion is usually to reject or to support the idea that the independent variable influenced the dependent variable. The values are stated directly in mathematical notation (For example p = 0.05).
Identify the independent and dependent variables from your ANOVA test for Step 2.
- Identify the independent and dependent variables from your ANOVA test for Step 2.