The sampling distribution of the sample mean approaches a normal distribution as the sample size gets larger, no matter what is the shape of the population distribution. The above statement is: Option 1: Fundamental sampling theorem Option 2: Central limit theorem Option 3: Hypothesis testing process Option 4: Inferential statistical theorem

The answer is 'Central limit theorem'. View full solution:

CUET Mathematics - The sampling distribution of the sample mean approaches a normal distribution as the sample size gets larger, no matter what is the shape of the population distribution. The above statement is: | PYQs + Solutions

CUET Mathematics 2026 22nd May Shift 2

Statistics & Applications

Easy

applied

Fundamental sampling theorem

Central limit theorem

Hypothesis testing process

Inferential statistical theorem

✅ Correct Option: 2

Related questions:

29th May Shift 1

Which of the following are correct?

(A) The central limit theorem (CLT) states that the sampling distribution of the sample approaches a normal distribution as the sample size gets larger, no matter what is the shape of the population distribution.

(B) The measurable characteristic of population is called parameter.

(D) The sample makes inference about the population.

Choose the correct answer from the options given below:

22 May Shift 1

Which one of the following statement is not correct?

31st May Shift 2

Match the LIST-I with LIST-II

LIST-I		LIST-II
A.	The measurable characteristic of a population is called	I. Statistic
B.	The measurable characteristic of a sample is called	II. Sample size
C.	The number of objects in a sample is called	III. Null hypothesis
D.	A tentative assumption about population	IV. Parameter

Choose the correct answer from the options given below:

CUET Mathematics 2026 22nd May Shift 2 PYQs

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