What is T- Test | Meaning | Types | Example

Introduction to T-Tests00:00:01

A T-test is a statistical method used to compare the means of two groups to determine if they significantly differ or if a treatment has an effect. It is essential for hypothesis testing when dealing with randomly selected samples.

Usage and Assumptions00:00:40

T-tests are restricted to pairwise comparisons of two groups; for more groups, ANOVA or post-hoc tests are required. The test assumes the data is independent, normally distributed, and possesses homogeneity of variance.

Core Types of T-Tests00:01:27

The video details three primary types: the One-Sample T-Test for comparing a single sample to a known mean, the Independent Two-Sample T-Test for comparing two separate groups, and the Paired Samples T-Test for comparing the same group under different conditions.

Variance-Based T-Tests00:03:31

Additional variations include the Equal Variance (Pooled) T-Test for groups with similar variance and sample sizes, and the Unequal Variance T-Test (Welch's Test) used when sample sizes and variances differ.