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1.4: Fitting Models to Data

  • Page ID
    32596
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    Learning Objectives​​​​​​

    • Describe the basic equation for statistical models (outcome=model + error)
    • Describe different measures of central tendency and dispersion, how they are computed, and which are appropriate under what circumstance.
    • Describe the concept of a Z-score and when they are useful.

    One of the fundamental activities in statistics is creating models that can summarize data using a small set of numbers, thus providing a compact description of the data. In this chapter we will discuss the concept of a statistical model and how it can be used to describe data.


      This page titled 1.4: Fitting Models to Data is shared under a CC BY-NC license and was authored, remixed, and/or curated by Russell A. Poldrack.

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