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Measures of central tendency
and dispersion
Measures of central tendency
• Mean
• Median
• Mode
• ie finding a ‘typical’
value from the middle
of the data.
You need to be able to:
• Explain how to calculate the mean, median
and mode
• State the strengths and weaknesses of mean,
median and mode
• This could include saying which one you would
use for some data e.g. 2, 2, 3, 2, 3, 2, 3, 2, 97 -
would you use mean or median here?
Advantages and disadvantages
 
Mean More sensitive than the
median, because it makes
use of all the values of the
data.
It can be misrepresentative
if there is an extreme
value.
Median It is not affected by
extreme scores, so can give
a representative value.
It is less sensitive than the
mean, as it does not take
into account all of the
values.
Mode It is useful when the data
are in categories, such as
the number of babies who
are securely attached.
It is not a useful way of
describing data when there
are several modes.
Measures of Dispersion
• Measures of ‘spread’
• This looks at how
‘spread out’ the data
are.
• Are the scores similar to
each other (closely
clustered), or quite
spread out?
Range and standard deviation
• The range is the difference between the highest
and lowest numbers. What is the range of …
• 3, 5, 8, 8, 9, 10, 12, 12, 13, 15
• Mean = 9.5 range = 12 (3 to 15)
• 1, 5, 8, 8, 9, 10, 12, 12, 13, 17
• Mean = 9.5 range = 16 (1 to 17)
• Example from Cara Flanagan, Research Methods for AQA A Psychology (2005) Nelson Thornes p 15
Standard deviation
• Standard deviation tells
us the average distance
of each score from the
mean.
• 68% of normally
distributed data is
within 1 sd each side of
the mean
• 95% within 2 sd
• Almost all is within 3 sd
Example
• Mean IQ = 100, sd = 15
• What is the IQ of 68% of
population (ie what is the
range of possible IQs)?
• Between what IQ scores
would 95% of people be?
• Dan says he has done an
online IQ test, and he has
an IQ of 170. Should you
believe him? Why/not?
Another example
• Sol scores 61% in the
test. His mum says
that’s rubbish. Sol
points out that the
mean score in class was
50%, with an sd of 5.
Did he do well?
• What if the sd was only
2?
• What if sd was 15?
Advantages and disadvantages
Advantages Disadvantages
Range Quick and easy to calculate Affected by extreme values
(outliers)
Does not take into account
all the values
Standard deviation More precise measure of
dispersion because all
values are taken into
account
Much harder to calculate
than the range
I used Cara Flanagan’s (2005) Research Methods for AQA A Psychology Nelson Thornes in preparing these slides.

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Measures of-central-tendency-dispersion

  • 1. Measures of central tendency and dispersion
  • 2. Measures of central tendency • Mean • Median • Mode • ie finding a ‘typical’ value from the middle of the data.
  • 3. You need to be able to: • Explain how to calculate the mean, median and mode • State the strengths and weaknesses of mean, median and mode • This could include saying which one you would use for some data e.g. 2, 2, 3, 2, 3, 2, 3, 2, 97 - would you use mean or median here?
  • 4. Advantages and disadvantages   Mean More sensitive than the median, because it makes use of all the values of the data. It can be misrepresentative if there is an extreme value. Median It is not affected by extreme scores, so can give a representative value. It is less sensitive than the mean, as it does not take into account all of the values. Mode It is useful when the data are in categories, such as the number of babies who are securely attached. It is not a useful way of describing data when there are several modes.
  • 5. Measures of Dispersion • Measures of ‘spread’ • This looks at how ‘spread out’ the data are. • Are the scores similar to each other (closely clustered), or quite spread out?
  • 6. Range and standard deviation • The range is the difference between the highest and lowest numbers. What is the range of … • 3, 5, 8, 8, 9, 10, 12, 12, 13, 15 • Mean = 9.5 range = 12 (3 to 15) • 1, 5, 8, 8, 9, 10, 12, 12, 13, 17 • Mean = 9.5 range = 16 (1 to 17) • Example from Cara Flanagan, Research Methods for AQA A Psychology (2005) Nelson Thornes p 15
  • 7. Standard deviation • Standard deviation tells us the average distance of each score from the mean. • 68% of normally distributed data is within 1 sd each side of the mean • 95% within 2 sd • Almost all is within 3 sd
  • 8. Example • Mean IQ = 100, sd = 15 • What is the IQ of 68% of population (ie what is the range of possible IQs)? • Between what IQ scores would 95% of people be? • Dan says he has done an online IQ test, and he has an IQ of 170. Should you believe him? Why/not?
  • 9. Another example • Sol scores 61% in the test. His mum says that’s rubbish. Sol points out that the mean score in class was 50%, with an sd of 5. Did he do well? • What if the sd was only 2? • What if sd was 15?
  • 10. Advantages and disadvantages Advantages Disadvantages Range Quick and easy to calculate Affected by extreme values (outliers) Does not take into account all the values Standard deviation More precise measure of dispersion because all values are taken into account Much harder to calculate than the range I used Cara Flanagan’s (2005) Research Methods for AQA A Psychology Nelson Thornes in preparing these slides.