# 8: Fitting Models to Data


## ​​​​​​

• 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.