Unit 3 Intro: Variability

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    Unit 3 Intro: Variability - Presentation Transcript

    1. Unit 3: Getting Started with Variability
    2. Review – Data and Averages
      Data may be drawn from a sample, or from each member of the population.
      Averages use a single number to summarize the values of a set of data points
      Three averages are commonly used
      The Mode for qualitative data
      The Mean and the Median for quantitative data
    3. Review – Mean and Median
      Strengths of the Mean
      Most common form of average
      Influenced by the value of each data point
      Widely used in more advanced statistical techniques
      Strengths of the Median
      Not influenced by extremely high or low scores
      Can be computed in some circumstances in which it is not possible to compute the Mean
    4. Review – Symbols
      n is the number of scores or data points
      X represents a single score
      and M represent the mean of a set of scores
      Σ indicates that the items that follow shouldbe added together
      (….)² indicates that the items inside the parentheses should be squared
      indicates that the square root of the items inside is required.
    5. What IS Variability?
      Variability is a measure of how different scores are from one another within a set of data points.
      Synonyms: spread,dispersion.
      Novels are 100,000 words long, on average
      Moby Dick is 213,724 words
      A Christmas Carol is 29,100
      How could we measure the variability of book length?.
      Bookhaven by waffler at http://www.flickr.com/photos/adrian_s/23441729/
    6. An Example
      Julian comes to the Tutor Center with an average quiz score of 15 out of 25.
      Delia also comes to the Tutor Centerwith a 15 out of 25 average score.
      Both want to improve their scores
      Do we know enough to begin to help them? Let’s look at their scores…
    7. Here are their scores for the first 20 daily quizzes:
      Let’s analyze the pattern of each student’s scores.
    8. Describing Julian’s scores
      Best score = 18
      Worst score = 13
      Most scores are 14, 15, or 16
      Consistent, stable
      Low variability
    9. Describing Delia’s scores
      Best score = 22
      Worst score = 8
      Few scores repeat
      Erratic, up-and-down
      High variability
    10. Variability guides your advice!
      Both students want a higher mean score.
      With low variability, Julian might focus on new study methods to master more material.
      With high variability, Delia might focus on consistent study habits to repeat her high scores.
      How can we measureanddescribe variability?
    11. Chapter 3 and the lecture for this module describe several measures of variability
      The Range and Interquartile Range (IQR) describe the distance from high to low scores
      The Standard Deviation describes the “average” distance from a score to the mean.
      The Variance measures the total amount of variability in the data set.
      Variability can be measured!
    12. Preview
      Variability is a key concept for the rest of the course
      Lectures in this unit are a bit longer
      Statistical Analysis Toolpak computes these measures for you
      An Excel Video demonstrates these methods fully
    13. Unit 3: Getting Started with Variability
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