Measures of Variability

Answers the question "how much variation is there in this class?"


Range


Standard Deviation

  • Second most common measure of variability


  • measures degree to which scores cluster around the mean


  • the smaller the standard deviation, the closer the scores are to the mean

    if all the scores are the same, standard deviation would = 0

  • So how do we calculate it?
  • Now, I understood all that for about the three weeks I was in my grad stats course -- we're doing the five minute university version in this class -- I survived 10 years just knowing that's how you got it, what you do with it

    • 75% of the scores will lie between 2 SD above and below the mean, no matter what the shape of the graph

    • the point of the Standard Deviation is to compare

    Standard Scores

    Once you have calculated your Standard Deviation, you will need something to compare it too. Here are two Standard Scores.

    z scores
    number of standard deviations that a particular raw score is above or below the mean of the raw score distribution

    T scores
    standard scores having mean of 50 and a standard deviation of 10
  • take a z score
  • multiply by ten to get rid of decimal
  • add 50 to get rid of negatives
  • ETS (Educational Testing Service) scores have means of 500 and standard deviations of 100 --> mostly to mystify the public...