AP Statistics 7.5 Carrying Out a Test for a Population Mean- FRQs - Exam Style Questions
Question
| \( n \) | Mean | Standard Deviation | |
|---|---|---|---|
| Placebo | \( 19 \) | \( 5.421 \) | \( 2.987 \) |
| Omega-3 | \( 19 \) | \( 3.632 \) | \( 1.739 \) |
| Difference (placebo minus omega-3) | \( 19 \) | \( 1.789 \) | \( 2.485 \) |
Most-appropriate topic codes (CED):
• TOPIC 7.4: Setting Up a Test for a Population Mean — section 1
• TOPIC 7.7: Justifying a Claim About a Population Mean Based on a Confidence Interval — alternative approach
▶️ Answer/Explanation
State: We will conduct a paired t-test for a population mean difference.
Let \( \mu_d \) = true mean difference (placebo minus omega-3) in irritability scores for all patients with this medical condition.
\( H_0: \mu_d = 0 \)
\( H_a: \mu_d > 0 \)
\( \alpha = 0.05 \)
Plan: We verify the conditions:
• Random: Treatments were randomly assigned to weeks for each patient.
• 10% Condition: Not needed since this is an experiment.
• Normal/Large Sample: The sample size (\( n = 19 \)) is less than 30, but the boxplot of differences shows an approximately symmetric distribution with no outliers, so the sampling distribution of \( \bar{x}_d \) should be approximately normal.
Do: Test statistic:
\( t = \frac{\bar{x}_d – \mu_0}{s_d/\sqrt{n}} = \frac{1.789 – 0}{2.485/\sqrt{19}} \approx \frac{1.789}{0.570} \approx 3.138 \)
Degrees of freedom: \( df = 19 – 1 = 18 \)
p-value: \( P(t > 3.138) \approx 0.0028 \)
Conclude: Since p-value \( = 0.0028 < \alpha = 0.05 \), we reject \( H_0 \). There is convincing statistical evidence that the true mean difference (placebo minus omega-3) in irritability scores for all patients with this medical condition is greater than zero. This supports the researcher’s claim that the omega-3 supplement decreases the mean irritability score.
