A sample of 50 observations is taken from an infinite population. The sampling distribution of : a. is approximately normal because of the central limit theorem. b. cannot be determined. c. is approximately normal because is always approximately normally distributed. d. is approximately normal because the sample size is small in comparison to the population size.

a.is approximately normal because of the central limit theorem.

Step-by-step explanation:

The central limit theorem states that if we have a population with mean μ and standard deviation σ and we take sufficiently large random samples from the population with replacement, then the distribution of the sample means will be approximately normally distributed.

For any distribution if the number of samples n ≥ 30, the sample distribution will be approximately normal.

Since in our question, the sample of observations is 50, n = 50.

Since 50 > 30, then our sample distribution will be approximately normal because of the central limit theorem.

So, a is the answer.

the answer is a

step-by-step explanation:

sorry man i accidentally pressed yes my bad

step-by-step explanation: