Qualitative/ Categorical Data – Data that can take on only a specific set of values representing a set of possible categories. Binomial Data, Nominal Data, Ordinal Data, Interval Data & Ratio Data.
Binomial Data – Place things in one of two mutually exclusive category: Right/ Wrong, True/False, Accept/ Reject, Head/ Tails
Nominal Data – Used for naming variable. No numerical significance.
M- Male F – Female
N – North S – South E – East W – West
Type of Movie or Car
Ordinal Data – It is order of the value that is important & significant but difference between the each one is not non.
How do you feel today ?
1 – Happy
2 – Ok
3 – Sad
How do you rate our service?
1 – 5 Stars 4 – 2 Stars
2 – 4 Stars 5 – 1 Star
3 – 3 Starts
Interval – Interval scales are numeric scales in which we know not only the order, but also the exact differences between the values. Each point is placed at equal distance from one another.
eg. Temprate Scale, Speedo Meter etc
Ratio-In mathematics, a ratio is a relationship between two numbers indicating how many times the first number contains the second.
For example, if a bowl of fruit contains eight oranges and six lemons, then the ratio of oranges to lemons is eight to six
Eg. Ratio of height & Weight etc
Quatitative/ Numerical Data – Represents data that can be measured. Such as Height, Length, Speed, Temperature etc.
Discrete Data – Items that can be counted; they can take only integer values.
Eg. Number of students in a class, Number of heads in 100 coin flips etc.
Continuous Data – Represent measurements; their possible values cannot be counted and can take any value in an interval.
Eg. Amount of petrol you can fill to your car tank. It could be 9.5L or 9.55L or 9.54321.