This section introduces sampling distribution using a concrete, discrete example, followed by a continuous example. This section also discusses sampling distributions' relationship to inferential statistics.
Question 1 out of 3.
When does the sampling distribution equal the relative frequency distribution?
When the distribution is discrete
When the distribution is continuous
When there are at least 20 samples
When there are infinite samples
When it's the sampling distribution of the mean
Question 2 out of 3.
Select all that apply. Which of these statistics has a sampling distribution?
Mean
Median
Range
Standard Deviation
Pearson's r
Question 3 out of 3.
What is the standard error of the mean?
The standard deviation of the sampling distribution of the mean
The standard deviation of the standard normal distribution
The amount the scores in the population vary from the mean
The difference between the mean of your first sample and the mean of your second sample