Sampling Simulator: SRS vs. Stratified

Learning how to collect data through sampling and experiments while avoiding bias. Sampling Simulator: SRS vs. Stratified turns that idea into something you can manipulate directly and watch respond.

Learning how to collect data through sampling and experiments while avoiding bias. It focuses on Random Sampling, Observational Studies vs. Experiments, Sources of Bias, Experimental Design Principles, Random Assignment from the “Statistical Investigations and Study Design” section.

The “Sampling Method”, “Sample Size (n): 40”, “Sampling Distribution (History of x̄)” sliders change the key inputs; a dropdown switches between scenarios; the “Take Single Sample”, “Run 50 Samples”, “Clear History” buttons run actions or reset the demo. Every change updates the visualization in real time, so you can see exactly how each variable affects the outcome.

The Client Challenge course is a comprehensive curriculum in Statistics and Probability, designed to take learners from foundational data analysis to advanced statistical inference. The course covers the visualization a… This demo is the interactive piece for the “Statistical Investigations and Study Design” section. Open the full Statistics and Probability course wiki at https://www.getlykke.com/explore/public/statistics-and-probability-b71199d8-8b56-46fd-a7b9-599a91a064e1 for notes, flashcards, quizzes and the other demos.

You'll build intuition for Random Sampling, Observational Studies vs. Experiments, Sources of Bias, Experimental Design Principles, Random Assignment — and, crucially, see how they behave when you change the inputs, which is hard to get from a textbook or lecture on Statistics and Probability alone.