After completing this module, you should be able to ...

- Describe the concept of sampling variability.
- Describe why sampling variability must be dealt with to make inferences.
- Describe what a sampling distribution represents.
- Identify how a sampling distribution differs from a population distribution.
- Describe what a standard error is.
- Identify how a standard error differs from a standard deviation.
- Describe how and why sampling distributions are simulated.
- Explain the concepts of precision, accuracy, and bias as it relates to statistics and parameters.
- Describe the theoretical distribution of the sampling distribution of the sample means.
- Gain some belief that the theoretical distribution actually represents the sampling distribution of the sample means.
- Use the sampling distribution of sample means to compute the probability of particular sets of means.

## Preparation for Class

Use the resources below to answer these questions. [*Problems with videos?*]

**Primary Resources**(10 pages, 99 mins)- Reading
- Introduction to Sampling Distributions I [9 mins] … corresponding slides
- Central Limit Theorem [4 mins]
- Fall 2020B In-Class “Review Lecture” [86 mins]

## Practice

- Assignment [has three parts]

## Archived Materials

- Preparation Resources
- Exercises