Go to File > Options > Add-ins , and enable the Analysis ToolPak . The Pro: No new software to learn.

If you want the most powerful free tool available, is the industry standard. It is an open-source programming language designed specifically for statistics.

Avoid websites offering "Free Professional SPSS/SAS Downloads." These are often riddled with malware. Stick to the open-source alternatives mentioned above—they are safer, legal, and often just as powerful.

The good news? You don’t need to hunt for "cracked" software or shady downloads. There are powerful, legitimate, and completely free ways to run ANOVA.

These are completely free, open-source, and designed by academics to be intuitive. You can run an ANOVA in seconds just by dragging and dropping your variables. The Con: Slightly less customizable than pure coding. 3. The Data Science Route: Python (SciPy/Statsmodels)

Install the scipy or statsmodels libraries using pip install .

For those already comfortable with Python, you don't need to download a new standalone app.