A t-test is an inferential statistic used in hypothesis testing to determine if there is a statistically significant difference between the means of two samples.

This study proposes robust means modeling (RMM) approaches for hypothesis testing of mean differences for between-subjects designs in order to control the biasing effects of nonnormality and variance ...

Elena Kulinskaya, Michael B. Dollinger, Kirsten Bjørkestøl, Testing for Homogeneity in Meta-Analysis I. The One-Parameter Case: Standardized Mean Difference ...

The null hypothesis, also known as “the conjecture,” is used in quantitative analysis to test theories about markets, investing strategies, and economies to decide if an idea is true or false.