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

Whether you're planning a psychology experiment, a neuroscience study, or any kind of research project, solid study design is the key to valid, reliable, and publishable results. In this episode of Un-Hidden Curriculum, we break down the basics of research design—independent vs. dependent variables, within- vs. between-subjects designs, randomization, control groups, confounds, power, pilot testing, and more. No more guessing. It’s time to design like you mean it. You’ll learn how to turn messy ideas into methodical plans, spot common pitfalls before they wreck your results, and make choices that strengthen your science instead of sabotaging it. If you’ve ever asked, “Is this even real science?”—this episode is for you.

Feeling lost when it comes to coding? You’re not alone, and Un-Hidden Curriculum is here to help. This episode breaks down the fundamentals of programming in a clear, beginner-friendly way—no prior experience required! Whether you're a student, researcher, or just curious, you'll learn what code is, how it works, and what tools and languages to start with. From variables and functions to syntax, debugging, and version control—we’ve got you covered.