I am aware that this question has been raised on this forum quite a few times already, but the answers and explanations seem to be incongruous to the lecture.
Given below is the transcript from the lecture
08:55 Now, when we talk about ordinal scale, again I can code an ordinal scale of measurement. For example, in our earlier example my bad could have been coded as 1, my good can be coded as 2, and my excellent can be coded as 3. I could code them. There is an order in 1, 2, 3. But then one thing which I need to understand here is the distance between bad to good need not be the same as the distance between good and excellent. It is just an order, I know excellent is better than good, but I cannot say that excellent the difference between good and excellent is the same as the distance between good and bad. I have an order, but at this point of time I am not able to comment anything more about this order. So, when I go to interval scale of data, interval scale of data has all the properties of interval scale of data, but the interval between the values is expresses a fixed unit of measure. Remember, when I said bad, good and excellent, I said the difference between good and bad need not be the same as the difference between excellent and good. Whereas, when I have internal data I have an ordering, but in this case whenever I am ordering my data the interval between the values is expressed in units of a fixed unit of measure. When the differences expressed in a fixed unit of measure; so, if I have for example, it can I can find out the difference between any two values, ok.