Levels of measurement – these can be split

into two groups: qualitative and quantitative data. They are very intuitive, so don’t worry. Qualitative data can be nominal or ordinal. Nominal variables are like the categories

we talked about just now – Mercedes, BMW or Audi, or like the four seasons – winter,

spring, summer and autumn. They aren’t numbers and cannot be put in

any order. Ordinal data, on the other hand, consists

of groups and categories but follows a strict order. Imagine you have been asked to rate your lunch

and the options are: disgusting, unappetizing, neutral, tasty, and delicious. Although we have words and not numbers, it

is obvious that these preferences are ordered from negative to positive, thus the data is

qualitative, ordinal. Okay, so what about quantitative variables? Well, as you may have guessed by now, they

are also split into two groups: interval and ratio. Intervals and ratios are both represented

by numbers but have one major difference. Ratios have a true zero and intervals don’t. For example, length is a ratio variable. You all know that 0 inches or 0 feet means

that there is no length. With temperature, however, we have a different

story. It is usually an interval variable. Let me explain. Usually, it is expressed in Celsius or Fahrenheit. They are both interval variables. 0 degrees Celsius or 0 degrees Fahrenheit

don’t not mean anything, as the absolute zero temperature is actually -273.15 degrees

Celsius, or -459.67 degrees Fahrenheit. However, we can easily say that 80 degrees

Fahrenheit is less than 100 degrees Fahrenheit. In the case of interval variables, the difference

is meaningful, but the 0 is not. Continuing this temperature example, there

is another scale – Kelvin’s. According to it, the absolute minimum temperature

is 0 degrees Kelvin. Therefore, if the degrees are stated in Kelvin’s

the variable will be a ratio. So. Numbers like 2, 3, 10, 10.5, Pi, etc. can

be both interval or ratio, but you have to be careful with the context you are operating

in. Alright! We’ve quickly gone through the types of

data and the measurement levels.

Excellent… Thanks very much indeed

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Great work thank you!

Hi .. Could you please provide few more examples for Interval and Ratio ..