Mean = Average (add up the number and divide by the amount of objects etc)
Range = largest number to the smallest number e.g. 23 to 7
Extra Info!
central tendancy - median, mean and mode
no mode means the data is skewed
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Nominal data
Nominal data is the lowest form of measurement
It is frequency data. Counting things that are not necessarily the same. It is also when we use numbers as labels and catergories e.g. used in observation
Sometimes nominal data can have a meaning
Nominal data is data that has variable that are basically a catergory e.g. do people prefer chocolate or sweets
This means that it can only be measures by frequecy
Nominal data uses the MEDIAN as a central tendancy
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Ordinal data
Ordinal data is tanked data, it is the next level up but still not very powerful
The gaps between the number is not identical
EXAMPLE: in a race there is 1st, 2nd & 3rd
Ordinal data is data that can be measures, it is numerical in form
this means taht we ca compare poeple to one another by order, rank or positon.
Ordinal data uses the MEDIAN as a central tendancy
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Interval data
Interval data is precise data. the gaps between the numbers are identical
We call this robust which means that we can do more complex calulations with this type of data
But the zero is not true as negatives can be used
Interval data used the MEAN as a central tendancy
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Ratio data
Ratio data is the most powerful or robust data we have
It is exactly the same is interval but the zero is true
Ratio data uses the MEAN as a central tendancy
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Parametric & Non Parametric
Parametric
No assumptions are made about the distinction of datam the parameters are set e.g. specific rules
Non Parametric
No assumptions are made about the parameters, probability is random
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