Kalkulačka štatistickej významnosti A/B testu

Determines if A/B test results are statistically significant or due to chance. Critical for making confident product and marketing decisions.

Calkulon makes complex calculations simple — built for students and everyday problem-solvers.

1. 1Define null hypothesis and significance level (typically 0.05)
2. 2Calculate sample size needed for power
3. 3Run A/B test long enough
4. 4Calculate p-value using chi-square or t-test
5. 5Accept or reject hypothesis

• !Stopping test too early when results favor variant
• !Multiple testing inflating false positive rate