At the end of term, a professor ranks his students\' participation in the course
ID: 422350 • Letter: A
Question
At the end of term, a professor ranks his students' participation in the course. The student who the professor feels has contributed the most gets a rank of one, the student who contributed the second most gets a rank of two, and so on. A precise difference between two students' participation levels cannot be determined by subtracting the rankings for the two students because there is not a uniform difference between adjacent rankings. Also, it is not possible to say that a student ranked 10th contributed half as much as a student who is ranked 5th. The rankings only allow the professor to make general statements like a 5th ranked student contributed more to the class than a 6th ranked student. As a result, these rankings are an example of data at the ________ level of measurement.
Ratio
Interval
Nominal
Ordinal
Explanation / Answer
Ans: Ordinal
The data can be classified into four types:
1. Nomonal: This type of data only gives information but we can not rank this data.
ex: (male, female), ( Hindhu, christian, muslim, ..)
2. Ordinal: This type of data not only gives information but also rank able.
ex: ( Roll NO. 1 2 3 ...), ( Rank 1 2 3 ..) ..Registration no. ,
3. Interval: With giving information this data can be rankable and signifies the defference of data.
ex: Body1 tempture is 10 degree celcius and Body2 tempture is 20 degree celcius. So Body2 is 10 degree calcius higher then Body1. but we can not say Body2 is two times mote hot then Body1.
4. Ratio: This type of data can give one extra information as compare to interval data i.e the ratio between two data signiofies some meaning.
ex: Body1 tempture is 100 kelvin, Body2 tempture is 200 kelvin. So Body2 is two times hotter then Body1.
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