To perform ANOVA using software like Excel, SPSS, or Python, you first input your data into the program, specifying the groups you want to compare. Then, you select the ANOVA function or module, run the analysis, and check the output for p-values to determine if there are significant differences between the groups.

Excel: Use the Data Analysis Toolpak. Select "ANOVA: Single Factor" for one-way ANOVA. Input your data range, choose the alpha level, and the output range for results. Excel will provide an ANOVA summary table with the F-statistic and p-value.

SPSS: Go to "Analyze," then "Compare Means," and select "One-Way ANOVA." Input your dependent variable and factor variable, set any post hoc tests if needed, and click "OK" to generate the output, which includes the ANOVA table and significance levels.

Python: Use libraries like scipy or statsmodels. For example, with statsmodels, you can use the ols function to fit a model and then apply anova_lm to perform ANOVA. The output will include the F-statistic, p-values, and more.