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3.1: Prelude to Descriptive Statistics

  • Page ID
    10924
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    Learning Objectives

    By the end of this chapter, the student should be able to:

    • Recognize, describe, and calculate the measures of the center of data: mean, median, and mode.
    • Recognize, describe, and calculate the measures of the spread of data: variance, standard deviation, and range.
    • Recognize, describe, and calculate the measures of location of data: quartiles, percentiles, and deciles.
    • Use quartiles to create a boxplot.

    Once you have collected data, what will you do with it? Data can be described and presented in many different formats. For example, remember that house you thought about buying the previous chapter, maybe the graph wasn't enough information to help you make an informed decision. A better way might be to look at the median price and the variation of prices. The median and variation are just two ways that you will learn to describe data. 

    CNX_Stats_C02_CO Photo.jpg
    Figure 2.1.1: When you have large amounts of data, you will need to organize it in a way that makes sense. These ballots from an election are rolled together with similar ballots to keep them organized. (credit: William Greeson)

    Measures of center, spread and position are additional ways you can describe data. We will explore important measures and another graph called a box plot.

    Contributors and Attributions

    • Barbara Illowsky and Susan Dean (De Anza College) with many other contributing authors. Content produced by OpenStax College is licensed under a Creative Commons Attribution License 4.0 license. Download for free at http://cnx.org/contents/30189442-699...b91b9de@18.114.


    This page titled 3.1: Prelude to Descriptive Statistics is shared under a CC BY 4.0 license and was authored, remixed, and/or curated by OpenStax via source content that was edited to the style and standards of the LibreTexts platform.