Types of data

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  • Created by: Erin
  • Created on: 16-05-13 15:32

Mode, Median, Mean & Range

  • Mode = most frequent number
  • Median = middle number
  • 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


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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