Given below are two statements. In the light of the above statements, choose the correct answer from the options given below.

Statement I:The p-value of a test depends on the sample size.

Statement II:An important difference may not be statistically significant if the sample size is too small.

ABoth Statement I and Statement II are true ✓ Correct

BBoth Statement I and Statement II are false

CStatement I is true but Statement II is false

DStatement I is false but Statement II is true

Correct answer: (A) Both Statement I and Statement II are true

Explanation

Both statements are true about p-values and sample size.

The p-value depends directly on the size of the sample.

A larger sample can turn a small effect into a significant result.

An important difference may stay non-significant when the sample is too small.

Statistical significance and practical importance are not the same thing.

Adequate sample size gives a test the power to detect real effects.

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