Types of data

• 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

• 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

• 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

• 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

• 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

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