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

You should read this and watch these videos:

- Introduction to Sampling Distributions – A [9 mins]
**and**B [8 mins] - Central Limit Theorem [4 mins]
- Types of Questions [6 mins]

## Practice

- In-Class Exercises – 1 / 2 / 3 (
*time permitting*… 4) - Homework Assignment