Question:medium

A study is conducted to compare the mean hemoglobin (Hb) levels between two groups. Which test is most appropriate?

Show Hint

Two independent groups + comparison of means = unpaired t-test.
Updated On: May 14, 2026
  • Paired t-test
  • Unpaired t-test
  • Chi-square test
  • ANOVA
Show Solution

The Correct Option is B

Solution and Explanation

Step 1: Understanding the Question:
The goal is to select the correct statistical test for comparing a Quantitative/Continuous variable (mean Hb levels) between exactly two groups.
Step 2: Detailed Explanation:

Statistical Test Selection Criteria:

Nature of Data: Hemoglobin level is numerical/continuous data. We assume it follows a normal distribution.

Number of Groups: There are exactly two groups.

Independence: Unless stated as "same subjects before and after", we assume the groups are independent (unpaired).


The Unpaired t-test: Also known as the independent samples t-test, it is specifically designed to compare the means of two independent groups. This is the correct choice.

Evaluating other options:

Paired t-test (A): Used for comparing means within the same group (e.g., Hb before and after iron therapy).

Chi-square test (C): Used for Qualitative (Categorical) data, like comparing the percentage of anemic people in two villages.

ANOVA (D): Used to compare means across three or more independent groups.


Step 3: Final Answer:
For comparing the means of two independent groups of numerical data, the Unpaired t-test is the appropriate choice.
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