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6: Probability

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    NOTE: This is a second probability chapter. This one comes from this original text and gives a good overview of how probability will connect with z scores. There are no calculations in this chapter, unlike in the earlier probability chapter.


    • 6.1: What is Probability
    • 6.2: Probability in Graphs and Distributions
      We will see shortly that the normal distribution is the key to how probability works for our purposes. To understand exactly how, let’s first look at a simple, intuitive example using pie charts.
    • 6.3: The Bigger Picture
      The concepts and ideas presented in this chapter are likely not intuitive at first. Probability is a tough topic for everyone, but the tools it gives us are incredibly powerful and enable us to do amazing things with data analysis. They are the heart of how inferential statistics work.
    • 6.E: Probability (Exercises)

    6: Probability is shared under a CC BY-NC-SA 4.0 license and was authored, remixed, and/or curated by Foster et al. via source content that was edited to conform to the style and standards of the LibreTexts platform; a detailed edit history is available upon request.