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Which of the following statements are true ?

(A) Central limit theorem states that the sampling distribution of the mean (xˉ)(\bar{x}) approaches a normal distribution as the sample size increases.

(B) As per Central Limit Theorem, when the sample size increases, the mean (xˉ)(\bar{x}) for the data becomes closer to the mean of overall population.

(C) The shape of t-distribution does not depend on degree of freedom.

Choose the correct answer from the options given below :

Solution

✅ Correct Option: 3

(A) Correctly states the Central Limit Theorem.

(B) Describes Law of Large Numbers, not CLT, so it is incorrect attribution.

(C) False; t-distribution shape depends on degrees of freedom.

Only (A) is correct.

Note: The available options do not include an (A) and (B) combination; we have selected the option matching the strict definition of CLT.

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