College Board-Aligned Original Notes
AP Statistics Unit 9 Topic 3: Selecting an appropriate inference procedure
Use Selecting an appropriate inference procedure across graphical, numerical, algebraic, and verbal representations.
Unit 9: Inference for Quantitative Data: Slopes. College Board exam weighting listed for this unit: 2%-5% of Score.
What to Know
- Check the conditions of a theorem or method before applying it.
- Show the setup before the calculation.
- Interpret the result in context, including units when the problem supplies them.
- Always connect this topic back to the larger unit: Inference for Quantitative Data: Slopes.
Detailed Notes
Selecting an appropriate inference procedure should be studied through multiple representations. A graph may show behavior quickly, an equation may make calculation possible, and a verbal interpretation explains what the result means.
In AP Statistics, AP questions often award credit for setup and reasoning, not just final answers. Write the expression, theorem, condition, or model before doing the computation.
When this topic appears in free response, check whether the question asks for a value, a rate, an interval, a comparison, or a justification. Use units and context to make the final answer precise.
Key Vocabulary
Random sample
A sample selected by a chance process.
Experiment
A study that imposes treatments to measure responses.
Confidence interval
An interval estimate for an unknown population parameter.
P-value
The probability, assuming the null hypothesis is true, of getting results at least as extreme as those observed.
Hypothesis test
A procedure for evaluating evidence against a null hypothesis.
Quick Practice
How would you explain Selecting an appropriate inference procedure in one or two AP-style sentences?
Name the concept, apply it to a specific example or source, and explain the reasoning that connects the evidence to your answer.
Related Topics in This Unit
- Confidence intervals for the slope of a regression model
- Setting up and carrying out a test for the slope of a regression model