Stats without the scary math? Yes, please! In this episodeof Un-Hidden Curriculum, you’ll learn the four questions you need to pick the right statistical test. No equations—justlogic, clarity, and real-world examples.

What you’ll learn in this beginner-friendly stats crash course:• Why statistics are the backbone of science (and not just “math for math’s sake”)• The 5 main types of variables and why they matter (continuous, discrete, ordinal, categorical, binary)• Key assumptions behind statistical tests (normality, variance, independence)• How to choose the right test—t-test, ANOVA, chi-square, regression, and more• What a p-value really means (and why it doesn’t tell you everything)• Why effect sizes, confidence intervals, and multiple comparisons matter• How to spot and avoid bad practices like p-hacking

Whether you’re a student, researcher, or justsomeone who’s been traumatized by a stats class before, this guide will help you finally understand statistics—without a single equation.

📌Resource mentioned: https://statsandr.com/blog/files/overview-statistical-tests-statsandr.pdf