Amount of Alcohol consumption amongst a group of Alcoholics, before and after intervention was recorded. The most appropriate statistical test to assess ‘significant change’ from the intervention programme would be –
**Core Concept**
The core concept here is to identify the most suitable statistical test for assessing the 'significant change' in the amount of alcohol consumption among a group of alcoholics before and after an intervention program. This involves comparing two related groups to determine if there's a significant difference in their means.
**Why the Correct Answer is Right**
The most suitable statistical test in this scenario is the **Paired T-Test**. This is because the same group of individuals is being measured before and after the intervention, making it a paired or matched dataset. The paired t-test is used to compare the means of two related groups, such as before and after measurements, to determine if there's a significant difference between them. This test assumes normal distribution of the data and equal variances between the two groups.
**Why Each Wrong Option is Incorrect**
**Option A:** _Wilcoxon Signed-Rank Test_. Although this test is used for paired data, it's a non-parametric test, which is not necessary if the data is normally distributed and the variances are equal. The paired t-test is a more powerful and efficient test in this case.
**Option B:** _Independent Samples t-Test_. This test is used to compare the means of two independent groups, not related groups like before and after measurements.
**Option C:** _Repeated Measures ANOVA_. This test is used to compare means across three or more related groups, not just two.
**Clinical Pearl / High-Yield Fact**
When comparing before and after measurements in the same group, always check for normal distribution and equal variances before choosing a paired t-test. If the data doesn't meet these assumptions, consider using a non-parametric test like the Wilcoxon Signed-Rank Test.
**Correct Answer: C. Repeated Measures ANOVA is incorrect in this context.