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Statistical Experiments and significance testing - Coggle Diagram
Statistical Experiments and significance testing
A/B testing
Test statistic
Hypothesis Tests (Significance Tests)
Null hypothesis
Alternative hypothesis
One-way test
Two-way test
Resampling
bootstrap
permutation test
Multi-Arm Bandit Algorithm
Web testing
Statistical significance and P-values
P-value
Value of the p-value
Data Science and P-values
Alpha
Type 1 error
Type 2 error
t-Tests
Multiple Testing
Adjustment of p-values
False discovery rate (the rate of making a Type I error)
Degree of freedom
Sample size determined by three
Effect size
Power
Power is the
probability
of detecting a specified effect size with specified sample
characteristics (size and variability)
Significance level
ANOVA
Comparison of multiple groups
Omnibus test
F-statistic
Two-Way ANOVA
Chi-Square Test :question: