### 3.1: The Concept of Sampling Distributions

### 3.1.1: Continuous Random Variables

From chapter 5, read section 1, section 3, and section 4. Section 1 talks about how to describe continuous distributions and compute related probabilities, including some basic facts about the normal distribution. Section 3 talks about how to compute probabilities related to any normal random variable. This section has many examples illustrating the usage of z-score transformations. Section 4 defines tail probabilities and illustrates how to find them. Complete the odd-numbered exercises at the end of each section before checking the answers.

### 3.1.2: Definition and Interpretation

Read section 2 from chapter 9. Also, complete the questions at the end. Section 2 introduces sampling distribution by using a concrete, discrete example, followed by a continuous example. This section also discusses sampling distributions' relationship to inferential statistics.

### 3.1.3: Sampling Distributions Properties

Use the information provided on the demonstration pages and interact with the various simulations.

If you have not done so already, you will need to download install the free Wolfram CDF Player™. If using Chrome as your browser, you will also need to download the CDF files from the pages linked to above, and run them through the CDF Player on your desktop. Other browsers will allow you to interact with the demonstrations directly on the webpage.