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