clarification on ranking type and other questions of graded1 assignment

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Ramesh Rajamoni

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Oct 26, 2020, 5:06:55 AM10/26/20
to Discussion forum for Statistics for Data Science I
The rating / ranking has been defined as a Categorial and Ordinal type of data, as per several statistics books, can you clarify why it is not so in this context? ( as per the answer provided for below question in graded1 assignment)

What kind of a variable is the rating given by each user to an app?
 Categorical
 Discrete numerical variable
 Continuous numerical variable
No, the answer is incorrect.
Score: 0Accepted Answers:
Discrete numerical variable
1 point
What is the scale of measurement of the rating given by the user?
 Ordinal
 Nominal
 Interval
 Ratio
No, the answer is incorrect.
Score: 0Accepted Answers:
Interval

Also pls clarify why the below answer is incorrect.
How many variables from the collected survey data are categorical?
No, the answer is incorrect.
Score: 0
Accepted Answers:
(Type: Numeric) 5

Thanks

Statistics 1 Support 1

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Oct 26, 2020, 6:27:35 AM10/26/20
to Discussion forum for Statistics for Data Science I, Ramesh Rajamoni
Hi,
As per the discussion with Prof. Usha ma'am, 
Ratings are usually considered as ordinal scale. When the ratings are captured as labels: Good, Bad, Poor etc. They are ordinal scale as the difference between good and bad need not be the same as the difference between bad and poor.
 Ratings of star hotels are examples. The difference between a 3 star hotel and 4 star hotel is not the same as the difference between a 4 star and a 5 star.
If the difference between rating 1 and 2 is same as difference between 2 and 3, and 3 and 4, it would be an interval scale else ordinal.
The key difference between ordinal and interval scale is that in Interval scale: difference between two data points make sense. Whenever, this kind of difference makes sense, it is interval.
So, specific to the question number 4 in activity questions 4 (not graded), both ordinal and interval scale of measurement are right choices. 

For that dataset, answer should not be zero definitly. Name, shoe material etc. are categorical varables, since we are not able to perform any mathematical operations on it. 

Regards,
Mayur,
Course content support,
IITM Onlinedegree
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