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Central Limit Theorem and T-Test Conditions
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What role does the Central Limit Theorem play in determining whether a t-test can be used for inference about a population mean?

A

It ensures that the sampling distribution of the sample mean is approximately normal for large sample sizes, regardless of the population distribution.

B

It demonstrates that the t-distribution converges to a uniform distribution as the sample size approaches infinity.

C

It guarantees that the t-distribution always perfectly matches the population distribution, regardless of sample size.

D

It proves that the t-test is always more accurate than other inferential methods, such as bootstrapping or permutation tests.

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