Why do I need to calculate the statistical significance of my test?

Calculating the statistical significance of your test is key as it helps determine if your results are due to your changes or just happened by chance. It quantifies the probability that the results occurred randomly, allowing you to confidently interpret your findings.

Without it, you risk making conclusions based on random variations rather than real differences. In sum, it's an essential step for validating your results and making accurate decisions based off your test.

Can I trust the result of the statistical significance calculator?

A significance testing tool or significance level calculator can be a useful for quickly determining the statistical significance of your test results. However, one important thing to keep in mind is that these calculators often don't take into account sample size.

Sample size is a critical factor when it comes to the reliability of your results. A larger sample size generally gives more reliable results, while a smaller sample size may skew the results. If your sample size is too small, even a significant result may not be trustworthy due to the higher chance of random variations.

Try other free tools:

• A/B Test Headline Generator
• Sample Size Calculator
• A/B Test Duration Calculator
• AI Hypothesis Generator