(True/False) The central limit theorem implies that: 1.a All variables have

illusiia 2021-10-23 Answered
(True/False) The central limit theorem implies that:
1.a All variables have bell-shaped sample data distributions if a random sample contains at least 30 observations.
2.b. Population distributions are normal whenever the population size is large.
3.c. For large random samples, the sampling distribution of \(\displaystyle\overline{{{y}}}\) is approximately normal, regardless of the shape of the population distribution.
3.d. The sampling distribution looks more like the population distribution as the sample size increases.

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Expert Answer

Pohanginah
Answered 2021-10-24 Author has 11969 answers
Answer:
Hence options c and d is correct
The central limit theorem implies that for large random samples, the sampling distribution is approximately normal, regardless of the shape of the population distribution.
And the sampling distribution is looks like a population distribution as the sample size increases.
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