Sampling and Bias
by Anonymous
Change how you sample to see where bias comes from, and discover which biases remain even with larger samples.
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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