Imagine taking many different samples of n = 30 values from a population of resting pulse rate values. Which one of these statistics is most likely to have a sampling distribution that is approximately a normal distribution?
A) The maximum pulse rate in a sample.
B) The minimum pulse rate in a sample.
C) The mean pulse rate in a sample.
D) The mean pulse rate in the population.

Question

Quizplus · Accepted Answer

The Central Limit Theorem states that the sampling distribution of the sample mean will be approximately normal if the sample size is large enough (n ≥ 30 is a common rule of thumb), regardless of the population's distribution. This does not apply to the maximum or minimum values in a sample, nor does it directly pertain to the mean pulse rate in the population.

Imagine Taking Many Different Samples of N = 30 Values