Unit 2 Intro: Central Tendency

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    Unit 2 Intro: Central Tendency - Presentation Transcript

    1. Unit 2: Getting Started with Central Tendency
    2. After this module, you will be able to…
      Explain measures of central tendency
      Define & compute the Mean, Median and Mode
      using a calculator
      using Excel's Toolpak
      Define, recognize, and give examples of variables with each level (scale) of measurement:
      nominal
      ordinal
      interval
      ratio
      Identify the appropriate use of mean, median, mode
      Use the Data Analysis Toolpak to compute descriptive statistics
      Identify measures of central tendency in research based reports.
    3. Review for this unit
      Population
      Sample
      Variables
      A dimension that varies across individuals
      Can take on more than one value
      Values / attributes
      One of the possible values of a variable
    4. Overview of central tendency
      Central tendency
      A statistical measure
      A single score to define the center of a set of scores
      Purpose
      Find the single score that is most typical or best represents the entire group
      Estimate a population
      The central tendency (average) of a sample is sometimes used to estimate the entire population
    5. Three kinds of average
      Mode – most common value in the data
      Median – middle case (data point) in the data
      Mean – balance point of all the data
      The type of average used must match the characteristics of the variable.
    6. Level (Scale) of Measurement
      Variables are measured with different scales
      The measure of central tendency should match the type of values
      Four levels will bedefined in the lecture
      Nominal
      Ordinal
      Interval
      Ratio
    7. Summation notation
      Most of the techniques in statistics involve adding up a set of numbers
      The capital Greek letter sigma (Σ) indicates that the items following it should be added up
      A single letter, often X, can stand for all the data for a single variable
      Σ X means “add all the data for the variable X”
    8. Preview of the Data Analysis Toolpak
      Chapter 2 shows how to generate a full suite of Descriptive Statistics with the Data Analysis Toolpak (p. 57-61)
      The Toolpak is a number-cruncher but presents them in a plain way.
      Salkind begins to show you how to make the numbers more presentable, a topic which we take up in Units 3 and 4.
    9. Unit 2: Getting Started with Central Tendency
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    Introduction to unit on Central Tendency

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