Master statistical hypothesis testing
inferential-statisticsskillsetup L1★64
Tibsfox/gsd-skill-creator ↗What it does
Draw population conclusions from sample data via hypothesis tests and confidence intervals
Best for
Determining whether a sample observation generalizes to the population when descriptive stats alone insufficient
Inputs
- · sample data
- · population parameter to infer
- · significance level (alpha, default 0.05)
Outputs
- · confidence interval
- · p-value
- · test statistic
- · power analysis
Requires
- · scipy.stats
- · numpy
- · pandas
Preconditions
Random sample from population; data approximately normal (or large n for CLT); independence of observations
Failure modes
Type I error if alpha too high; Type II error if power too low; CLT fails on highly skewed small samples
Trust signals
- · Covers z-tests, t-tests, chi-square, ANOVA
- · Confidence interval interpretation correct
- · Power analysis prevents underpowered studies