Hypothesis Testing Foundations
The logic of hypothesis testing, formulating null and alternative claims, Type I and Type II errors, test power, and decision rules.
Formal decision protocols for assessing claims about population parameters.
View all tagsThe logic of hypothesis testing, formulating null and alternative claims, Type I and Type II errors, test power, and decision rules.
One-sample and two-sample Z-tests, decision rules across critical values, p-values, and confidence intervals with Python implementations.