Central Tendency

    Cards (21)

    • How to calculate mean?
      add up and divide by number of data points
    • advantages of MEAN?

      • uses all data in calculation
      • most accurate measure of central tendency
    • why is the mean the most accurate measure of central tendency?
      Uses interval level of measurement when the units of measurement are all of equal size
    • give one -ive of mean?
      less useful if there is an extreme score which will then skew the data
    • give one -ive of mean?
      the mean score could be one that isnt actually listed in your data set which can create difficulties when applying to people
    • 2 brief -ives of mean?
      • could be one which is not listed
      • extreme scores- skew the data
    • what is the median?
      The central score in a list of rank ordered scores
    • when is the median the middle number?
      with an odd number of scores
    • when is the median the mid point between the 2 middle scores?

      with an even number of scores
    • median brief advantages?
      • not affected by extreme scores
      • usually easier to calculate than the mean
      • can be used with ordinal (ranked) data but the mean cannot
    • median -ives (brief)?
      • not as representative/sensitive as mean
      • small sets of data- can be unrepresentative
    • median -ive?
      Not as sensitive/representative as the mean (as not all scores are used in its description you only quote one score)
    • median -ive?
      can be very unrepresentative of small sets of data
    • what is the mode?
      the most common or popular score
    • brief positives of mode?
      • less prone to distortion
      • makes more sense than mean
    • positive of mode?

      less prone to distortion/extreme value
    • positive of mode?
      makes more sense than the mean
    • give the ONE disadvantage of MODE?
      Can be more than ONE mode in a given set of data
    • Strength of median?

      Not affected by extreme scores
    • Strength of median?

      Usually easier to calculate than the mean
    • strength of median?

      can be used with ordinal (ranked) data but the mean cannot