Question 14 1 pts Asample ensures that each subject in the population has the sa

Question

Question 14 1 pts Asample ensures that each subject in the population has the same chance of being in the sample. O volunteer O biased simple random O convenience Question 15 1 pts The central limit theorem implies that for suffciently large random samples, the sampling distribution of the sample mean is approximately normal, regardless of the shape of the population distribution. O the sampling distribution of the sample mean looks more like the population distribution as the sample size increases O all variables have approximately bell-shaped data distributions if a random sample contains about 30 observations O population distributions are normal whenever the population size is large enough.

Explanation / Answer

As multiple questions are posted, only first 4 will be answered.

14. Simple random

Reason:A simple random sample is derived from a population such that each element of population has equal chance of being chosen into the sample.

15. Option 1.

Reason: Central Limit Theorem talks about the distribution of sample mean approaching normal distribution as sample size increases.

16. Option 2

Reason: A right skewed distribution has mode towards the left, hence smaller values are more probable.

17. Not enough information to determine.

Reason: A histogram may depict multiple variables as well.

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