Which of the following statements are true ?
(A) Central limit theorem states that the sampling distribution of the mean approaches a normal distribution as the sample size increases.
(B) As per Central Limit Theorem, when the sample size increases, the mean 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 :
Which of the following statements are true ?
(A) Central limit theorem states that the sampling distribution of the mean approaches a normal distribution as the sample size increases.
(B) As per Central Limit Theorem, when the sample size increases, the mean 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
(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.
Related questions:
2023: 11 Aug Shift 1
2026: 29 May Shift 2
2023: 30 May Shift 3
2026: 21 May Shift 2