Learn about t-test assumption, including scale, sampling, normality, sample size, and variance equality, for accurate statistical analysis and reliable results.

Among the most common types of experiments are comparative studies that contrast outcomes under different conditions such as male versus female, placebo versus drug, or before versus after treatment.