Sampling Distribution Lesson

The distribution of a population parameter.

The probability distribution of a sample statistic.

The distribution of individual data points in a sample.

The distribution of the population mean.

To save time and resources.

Because the population mean is unknown.

To ensure accuracy.

Because the sample mean is always equal to the population mean.

Uniform distribution

Skewed distribution

Normal distribution

Bimodal distribution

It becomes more skewed.

It approximates a normal distribution.

It becomes uniform.

It remains unchanged.

It is normally distributed for any sample size.

It is skewed for small sample sizes.

It is uniform for large sample sizes.

It is bimodal for any sample size.

Equal to the sample mean.

Equal to the population mean.

Equal to the sample standard deviation.

Equal to the population standard deviation.

The population standard deviation.

The sample mean divided by the sample size.

The population standard deviation divided by the square root of the sample size.

The sample standard deviation divided by the square root of the sample size.

It increases.

It decreases.

It remains the same.

It becomes zero.

Normal distribution

Chi-square distribution

t-distribution

F-distribution