measures of central tendacy and graphs and standard dev

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Last updated 10:46 AM on 5/4/26
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23 Terms

1
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measures of central tendency

mean median or mode

2
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measures of dispersion

to what extent is the data spread out e.g. range or standard deviation

3
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graphical representations

  • bar chart

  • histogram

  • tables 

4
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mean advantages

  • most sensitive measurement because it uses all data 

5
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mean disadvantages

can be effected by extreme scores and distort the value 

6
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median advantages

  • not affected by extreme scores

7
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median disadvantages

not as sensitive as the mean because not all data is used in its calculation

8
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mode advantage

not affected by extreme values

9
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mode disadvantage

not as sensitive because it only shows the most frequent score 

10
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which measure of central tendency do you use 

  • mean is normally the most accurate 

  • avoid using mode if the data is bimodal 

  • do not use median if the data is wide ranging because it wont give a true reflection

11
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range advantage

easier to calculate and understand than other measures e.g. standard deviation

12
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range disadvantage

gives no information about whether the scores are clustered around the mean or spread out

13
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standard deviation

this measures how far each score was away from the mean

  • larger standard deviation = scores are very spread out away from the mean 

14
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standard deviation advantage

all scores are used so its a very sensitive measure of dispersion - better than range 

15
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standard deviation disadvantage

more time consuming to calculate than the range

16
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bar chart

  • represents categories = discrete data 

  • not continuous data on the X axis 

17
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histogram 

  • bars touch each other 

  • data on X axis is continuous 

18
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scattergram 

only used for correlations 

19
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tables 

show the raw data before any analysis 

20
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normal/symmetrical curve of standard deviation

  • the distribution and frequency of scores on the left side matches those on the right 

  • height, weight, IQ, blood pressure 

<ul><li><p>the distribution and frequency of scores on the left side matches those on the right&nbsp;</p></li><li><p>height, weight, IQ, blood pressure&nbsp;</p></li></ul><p></p>
21
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<p>what type of data skew is this&nbsp;</p>

what type of data skew is this 

positive skew

22
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<p>what type of data skew is this </p>

what type of data skew is this

negative skew 

23
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negative skew in a distribution curve

the mode is a higher number than the median and the mean because extremely low scores have distorted the mean