## Unpaired t-Test for Continuous Data Comparison **Key Point:** When comparing means of a continuous variable (systolic BP reduction in mmHg) between two independent groups with normally distributed data, the unpaired (independent samples) t-test is the appropriate choice. ### Conditions Met for Unpaired t-Test | Criterion | Status | Justification | |---|---|---| | **Data Type** | Continuous | Blood pressure reduction in mmHg | | **Independent Groups** | Yes | Different patients in each group (n=25 each) | | **Normality** | Yes | Explicitly stated in stem | | **Sample Size** | Adequate | n=25 in each group (>30 is ideal, but 25 is acceptable) | | **Variance Homogeneity** | Likely | SD values similar (6 vs. 7 mmHg) | ### Unpaired t-Test Formula $$t = \frac{\bar{X}_1 - \bar{X}_2}{SE_{diff}}$$ where $SE_{diff} = \sqrt{\frac{s_1^2}{n_1} + \frac{s_2^2}{n_2}}$ ### Calculation of Effect Size - **Mean difference:** 24 − 18 = 6 mmHg - **Pooled SD:** $\sqrt{\frac{(25-1) \times 6^2 + (25-1) \times 7^2}{25+25-2}} \approx 6.5$ mmHg - **Standard error of difference:** $\sqrt{\frac{6.5^2}{25} + \frac{6.5^2}{25}} \approx 1.84$ mmHg - **t-statistic:** $\frac{6}{1.84} \approx 3.26$ - **Degrees of freedom:** 25 + 25 − 2 = 48 - **Critical value at p<0.05 (two-tailed):** ≈ 2.01 **High-Yield:** Since calculated t (3.26) > critical t (2.01), the result is statistically significant at p<0.05. ### Why Unpaired t-Test? 1. **Continuous outcome:** BP reduction is measured on a continuous scale 2. **Two independent groups:** Different patients, not paired measurements 3. **Normal distribution:** Assumption satisfied 4. **Parametric test:** More powerful than non-parametric alternatives when assumptions are met **Clinical Pearl:** A 6 mmHg greater reduction with combination therapy is both statistically significant and clinically meaningful (target BP reduction in hypertension is typically 10-20 mmHg). **Mnemonic:** **TINCT** — **T**wo groups → t-test; **I**ndependent → unpaired t-test; **N**ormal distribution → parametric test; **C**ontinuous data; **T**est the difference in means
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