Question

Which statistical test is most appropriate for comparing the mean hemoglobin levels between two independent groups?

• A. Paired t-test
• B. Chi-square test
• C. Independent t-test
• D. ANOVA

Hint:

2 groups (independent) $\rightarrow$ \textbf{Independent t-test} Same group (before-after) $\rightarrow$ Paired t-test

Answer 1

The Correct Option is C

Concept: Statistical tests are chosen based on the type of data and study design. When comparing means between groups, parametric tests like the t-test or ANOVA are commonly used.

• Independent t-test: Compares means of two independent groups.
• Paired t-test: Compares means of the same group at two different times.
• ANOVA: Compares means of more than two groups.
• Chi-square test: Used for categorical data, not means.

Step 1: Identify the type of data.
Hemoglobin level is a continuous variable.
Step 2: Determine the number and type of groups.
The question specifies two independent groups.
Step 3: Select the appropriate test.
The independent (unpaired) t-test is used to compare the means of two independent groups.
Step 4: Eliminate incorrect options.

• Paired t-test is for related samples.
• ANOVA is for more than two groups.
• Chi-square is for categorical variables.

Step 5: Conclude the answer.
Thus, the correct test is the independent t-test.