Spin a spinner, flip a coin or roll a die and watch two sets of bars: the chances the shapes predict, and the results you actually got. Ten spins prove nothing; a few hundred and the two are hard to tell apart.
Sampling Methods and Bias
Math · Sampling Methods and Bias · Middle School and High SchoolAbout this simulation
Sample a two-neighbourhood population with random, stratified or convenience sampling. Compare sample means and repeated-sample bias.
What students can explore
- Predict which method represents both neighbourhoods. Can a large convenience sample still be biased?
- Sample a two-neighbourhood population with random, stratified or convenience sampling. Compare sample means and repeated-sample bias.
Learning objectives
- 1Predict which method represents both neighbourhoods. Can a large convenience sample still be biased?
Questions teachers ask
Is the Sampling Methods and Bias simulation free?
Yes. Open the Sampling Methods and Bias simulation in a modern browser with no download or sign-up required.
Is it suitable for Middle School and High School?
The simulation includes learning-level presets spanning Middle School and High School. Choose the level that matches your class, then use it on a projector or student devices.
Embed this simulation
Drop it into your LMS, blog, or class site — free.
<iframe src="https://kiwibee.io/en/simulations/sampling-methods-bias-simulation/embed" title="Sampling Methods and Bias | KiwiBee" loading="lazy" allowfullscreen style="width:100%;height:min(70vh,620px);min-height:420px;border:0;border-radius:16px"></iframe>Continue exploring
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From model to evidence
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