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21.2: The Number Line

  • Page ID
    36286
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    • 21.2.1: Distance between Two Points on a Number Line
      The number line is the main visual base in statistics and we often want to look at two points on the number line and determine the distance between them. This is used to find the base of a rectangle or another figure that lies above the number line. By the end of this section, you will be able to determine the distance between any two points on a number line that comes from a statistics application.
    • 21.2.2: Plotting Points and Intervals on the Number Line
      The number line is of fundamental importance and is used repeatedly in statistics. It is a tool to visualize all of the possible outcomes of a study and to organize the results of the study. Often a diagram is placed above the number line to provide us with a picture of the results. By the end of this section, you will be able to plot points and intervals on a number line and use these plots to understand the possible outcomes and actual outcomes of studies.
    • 21.2.3: Represent an Inequality as an Interval on a Number Line
      Inequalities come up frequently in statistics and it is often helpful to plot the inequality on the number line in order to visualize the inequality. This helps both for inequalities that involve real numbers and for inequalities that refer to just integer values. As an extension of this idea, we often want to look at the complement of an inequality, that is all numbers that make the inequality false. In this section we will look at examples that accomplish this task.
    • 21.2.4: The Midpoint
      As the word sounds, "midpoint" means "the point in the middle". Finding a midpoint is not too difficult and has applications in many areas of statistics, from confidence intervals to sketching distributions, to means.

    Thumbnail: Demonstration the addition on the line number. (CC BY 3.0 unported; Stephan Kulla).


    This page titled 21.2: The Number Line is shared under a CC BY 4.0 license and was authored, remixed, and/or curated by Larry Green.