Statistics & Inferences
Overview
Learn how statisticians use samples to draw conclusions about whole populations. You'll explore random sampling and how to avoid bias, then compare two populations using their centers and spread.
Your progress
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About this unit
How to work through it
- Ask whether a sample is random and representative before analyzing.
- Compare centers and spreads, not just single numbers.
- Use dot plots and box plots to justify comparisons in writing.
- Redo exercises where you misread the graph.
- Link each quiz question back to a vocabulary term (mean, MAD, etc.).
You should be able to
- Describe populations vs. samples and identify bias.
- Compare two data sets using visual displays.
- Interpret mean as fair share and mean absolute deviation informally.
- Draw conclusions that match the data shown.
Key words
- Population
- The entire group you want to learn about.
- Sample
- A smaller part of the population that is actually studied.
- Random sample
- A sample where every member has an equal chance of being chosen.
- Bias
- Anything that makes a sample unrepresentative of the population.
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