What is statistical significance in A/B testing?
An example of an AI chatbot conversation about statistical significance in A/B testing.
What is statistical significance in A/B testing?
Statistical significance in A/B testing helps determine if the results observed are likely due to chance or if they reflect a true effect.
How do I know if my A/B test results are statistically significant?
You can determine this by calculating the p-value. A p-value less than 0.05 typically indicates statistical significance.
What does a p-value of 0.05 mean?
A p-value of 0.05 suggests that there is a 5% probability that the observed results occurred by chance, indicating significance.
Are there any other factors to consider in A/B testing?
Yes, sample size, test duration, and the effect size are also crucial for reliable A/B testing results.
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