The mean (or average) is found by adding all values in the data together and dividing by the total number of pieces of data. +ve The mean uses all data recorded so it is more representative of the data as a whole. -ve Easily distorted by extreme values. - This mean doesn’t really represent the data overall!
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3
Q
median
A
The median is the middle value in a data set when scores are arranged from lowest to highest. +ve Extreme scores do not affect it, Easy to calculate -ve Not all scores are included in the final calculation
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4
Q
mode
A
The most frequently occurring score/value within a data set. You can also have two modes or no mode at all. +ve Easy to calculate, The only option for data in categories (nominal). E.g. list of favourite films -ve Does not represent the data as a whole
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5
Q
central tendency and levels of measurement
A
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6
Q
measures of dispersion
A
range standard deviation
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7
Q
range
A
A calculation of the spread of scores worked out by taking the lowest value from the highest value and adding 1. (add 1 as raw scores are often rounded up/down) +ve Easy to calculate -ve Only takes into account the two most extreme values – unrepresentative of data set as a whole.
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8
Q
standard deviation
A
A more sophisticated measure of dispersion.
This is a single value that tells us how far the scores deviate (move away from) the mean.
The larger the standard deviation, the greater the dispersion or spread within a set of data.
A low SD value shows that the data are tightly clustered around the mean. = good +ve A much more precise measure of dispersion than range because all values included within calculation. -ve Because all values are included, like the mean SD can be distorted by a single extreme value.