• 3.1: The Concept of Sampling Distributions

      • 3.1.1: Continuous Random Variables

        • Continuous Random Variables Book

          First, this section talks about how to describe continuous distributions and compute related probabilities, including some basic facts about the normal distribution. Then, it covers how to compute probabilities related to any normal random variable and gives examples of using z-score transformations. Finally, it defines tail probabilities and illustrates how to find them.

      • 3.1.2: Definition and Interpretation

        • Introduction to Sampling Distributions Book

          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.

      • 3.1.3: Sampling Distributions Properties

        • Wolfram Demonstrations Project Page

          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.