A/B Test Significance ची गणना कशी करावी
A/B Test Significance म्हणजे काय?
Determines if A/B test results are statistically significant or due to chance. Critical for making confident product and marketing decisions.
चरण-दर-चरण मार्गदर्शक
- 1Define null hypothesis and significance level (typically 0.05)
- 2Calculate sample size needed for power
- 3Run A/B test long enough
- 4Calculate p-value using chi-square or t-test
- 5Accept or reject hypothesis
Worked Examples
इनपुट
A 10%, B 12%
परिणाम
95% confidence
Common Mistakes to Avoid
- ✕Stopping test too early when results favor variant
- ✕Multiple testing inflating false positive rate
Frequently Asked Questions
What sample size do I need?
Depends on baseline rate and expected lift; typically 500-2,000 per variant for 80-90% statistical power.
What's statistical significance?
95% confidence the result wasn't due to chance; p-value < 0.05 typically required.
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