Measures of central tendency and dispersion Flashcards
Mean
Arithmetic average, add up all the scores and divide by the number of scores
What is a strength of using the mean?
Sensitive measure.
Includes all the scores/values in the data set within the calculation.
Represents data set better than median or mode.
What is a limitation of using the mean?
May be unrepresentative.
One very large or small number makes it distorted.
The median or the mode tend not to be so easily distorted.
Median
Middle value, places scores in ascending order and select middle value. If there are two values in the middle, the mean of these is calculated.
What is a strength of using the median?
Less affected by extreme scores.
The median is only focused on the middle value.
In some cases may be more representative of the data set as a whole.
What is a limitation of using the median?
Less sensitive than the mean.
The actual values of lower and higher numbers are ignored.
Extreme values may be important.
Mode
Most frequent or common value, used with categorical/nominal data.
What is a strength of using the mode?
Relevant to categorical data.
When data is discrete i.e. represented in categories.
Sometimes the mode is the only appropriate measure.
What is a limitation of using the mode?
An overly simple measure.
The mode may be at one extreme.
It is not a useful way of describing data when there are many modes.
What are the three measures of central tendency?
1) Mean
2) Median
3) Mode
What are the two measures of dispersion?
1) Range
2) Standard deviation
Range
The difference between between highest to lowest value (sometimes 1 is added if values have been rounded up or down).
What is a strength of using the range?
Easy to calculate.
Arrange values in order and subtract largest from smallest.
Simple formula, easier than the standard deviation.
What is a limitation of using the range?
Does not account for the distribution of the scores.
The range does not indicate whether most numbers are closely grouped around the mean or spread out evenly.
The standard deviation is a much better measure of dispersion in this respect.
Standard deviation
Measure of the average spread around the mean. The larger the standard deviation, the more spread out the data is.