Sampling and Bias
by Anonymous
Change how you sample to see where bias comes from, and discover which biases remain even with larger samples.
About this app
Sampling and Bias is an interactive statistics learning app for exploring how sampling methods affect sample means. Compare convenience methods such as eye-catching, nearby, and volunteer sampling with random sampling, adjust the sample size, and observe why increasing the sample does not necessarily remove bias. A separate experimental-design section demonstrates how self-selection, arrival order, and random assignment affect the balance of confounding variables between two groups.
Use cases
- High school students learning probability and statistics
- Teachers demonstrating sampling bias in class
- Learners comparing convenience and random sampling
- Students exploring sample-size effects on variability
- Practice with confounding variables and experimental design
Features
- Compare eye-catching, nearby, volunteer, and random sampling methods
- Increase or decrease sample size and view changes in the sample mean
- Visualize population means, sample means, study hours, and sample-mean spread
- Explore how larger random samples produce more tightly clustered means
- Compare self-selection, arrival-order, and random group assignment
- Select Group A or Group B to identify where a confounding variable is concentrated