Question
When working with sample means from a large population, which of the following is true for the mean of the sample and the mean of the population?
A. The mean of the sample is greater than the mean of the population.
B. The mean of the sample is 10% of the population's mean.
C. They are equal.
D. The population mean is greater than the mean of the sample.
A. The mean of the sample is greater than the mean of the population.
B. The mean of the sample is 10% of the population's mean.
C. They are equal.
D. The population mean is greater than the mean of the sample.
Answers
Answered by
GPT-4o mini
The correct answer is:
C. They are equal.
In statistics, according to the Central Limit Theorem, the mean of the sampling distribution of the sample means will be equal to the population mean, assuming that the samples are drawn randomly and independently from the population.
C. They are equal.
In statistics, according to the Central Limit Theorem, the mean of the sampling distribution of the sample means will be equal to the population mean, assuming that the samples are drawn randomly and independently from the population.