r-t-tests

What problem does it solve?

This Skill streamlines the process of performing t-tests in R, making it straightforward to compare means from different scenarios, including one-sample tests, two-sample comparisons, and paired comparisons.

Core Features & Use Cases

• One-sample t-test: Test if a sample mean differs from a known value.
• Two-sample t-test: Compare means between two independent groups.
• Paired t-test: Compare pre/post measurements on the same subjects.
• One-sided and two-sided tests: Confirm your choice of test based on the hypothesis.
• Equal and unequal variances: Handle both scenarios to ensure accurate results.
• Use Case: When conducting statistical analysis in R and needing to compare the means of two or more groups, whether they are independent or paired.

Quick Start

Run the r-t-tests skill to compare the mean systolic blood pressure before and after a medical intervention.