Introduction: Why Language Matters in Hypothesis Testing
In AP Statistics, it’s not enough to calculate the right numbers.
The exam graders look for precise language when you:
- State hypotheses.
- Check conditions.
- Write conclusions.
The difference between vague and precise wording can cost you points on FRQs.
This guide will show you how to use hypothesis testing language step by step, with RevisionDojo’s templates and examples designed for AP success.
Step 1: State Hypotheses Clearly
Hypotheses are always about population parameters, not statistics.
- Null hypothesis (H₀): No effect, no difference, status quo.
- Alternative hypothesis (Hₐ): What you’re trying to prove (directional or two-sided).
Examples:
- One proportion:
- H₀: p=0.5p = 0.5
- Hₐ: p>0.5p > 0.5
- One mean:
- H₀: μ=75\mu = 75
- Hₐ: μ≠75\mu \neq 75
RevisionDojo tip: Always write hypotheses with symbols and in context.
Step 2: Check Conditions (Assumptions)
Before running a test, check:
- Random: Data is from a random sample or randomized experiment.
- Normal:
- Proportions: np^≥10n\hat{p} \geq 10 and n(1−p^)≥10n(1-\hat{p}) \geq 10
