Doubt

[Jay Chavhan]

can you explained Time series data and  Cross-sectional data

and discrete and Continuous ?

[statistics-1]

Hi Jay,

Prof. Usha Mohan has already explained dfference between discrete and continuous varible as well as time series and cross sectional data in her lectures.

I will try to explain once again.

Discrete variable : A discrete variable is one which takes countable values.For example, the number of players playing in a cricket match. The answer to thisquestion can take values as 11, 12, 13, 22 etc.Continuous variable : A continuous variable is a variable that takes any value betweentwo specific data values.For example, the weight measured in kg can take any value between 2 kg and 3 kg.That is, the weight can take values as 2.1 kg or 2.223 kg or 2.1234 etc

If you are measuring the temperature of a particular city e.g. Chennai, at an interval of 30 minutes starting from 9 AM until 9 Pm of a particular day, then it is time series data. 

If you are measuring the temperature of 4 metro cities of India at a particular time e.g. 9 AM at a particular day, then it is cross sectional data.

Regards, 

Mayur,

Course content support,

IITM oOnlinedegree.

[Divyanshu Singh]

I want to create table of students marks by setting a criteria

Good      : Marks > 80

Average : 80 =< Marks >= 40

Poor       : marks < 40

                      Student      |      Mark

                      Abhay               Good

                      Rajat                  poor                                              Kritika               Average

My doubt is What type of variable is Mark?

[statistics-1]

Hi,

Here marks is a categorical variable only.

Regards,

Mayur,

Content support team,

IITM Onlinedegree

[Sujeet Kumar]

And what is the unit of measurement for marks? Is it ratio?

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[Statistics 1]

If you are collecting marks data in form of Good, Poor, Average then it will not have any units. 

Best,

Ram,

Statistics-1 Course Instructor