condition for applying Central Limit Theorem (CLT) which approximate the sampling distribution of the mean with a normal distribution is ?
Correct answer: A. n > 30
- A. n > 30
- B. N(1 - p) > 5
- C. 2 n 5
- D. N < 30
Explanation
A common rule of thumb is that n greater than 30 makes the sampling distribution of the mean approximately normal, especially when the population is not strongly nonnormal. The exact requirement depends on the population shape, but option a is the intended guideline.
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