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8: Fitting Models to Data

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    • 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 8: Fitting Models to Data is shared under a CC BY-NC 2.0 license and was authored, remixed, and/or curated by Russell A. Poldrack via source content that was edited to the style and standards of the LibreTexts platform; a detailed edit history is available upon request.

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