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• #44798

Alok
Participant

Hi
Suppose i want to know whether a person clearing an exam is any way related to his age , qualification and experience . These are all non metric variables ,so how to go about in establishng any co relation or how to use multiple regression or any other statistical tool to use . also if i am doing a hypothesis testing and my null hupothesis is that a mean of a sample of people not clearing any exam is  realted to age then how to go about testing this hypothesis .

Regards
Alok

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#144321

SH
Member

Can u give some more details regarding this..
1. Person clearing an exam, (do u have your responses as Yes/No, Pass Fail or Exam % like 93%,45%,and then a cut off %)
2.Have u categorized age in buckets like 15-20 yrs, 20-25 yrs or you have taken the age in figures as 21, 22.5, 44 etc), same for the experience.

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#144341

Alok
Participant

For person clearing an exam it is categorised as Pass or fail
age has been categorised as buckets like 10-12 yrs 12-14 yrs
same holds true for the experience
But for the qulaification how can i categorise i am thinking of catergorising them as below 10th , 12th pass , graduate , post graduate
Pls help me as its impotant for me to establish a co realtion or devlop a model takinh these X”s into account and see what effect it has on Y which is the attrition.

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#144355

SH
Member

Alok,
Your post suggest that  you want to know whether a person clearing an exam is any way related to his age , qualification and experience
You have age and experience categorized in buckets and have pass/fail criterion.
You can proceed with the qualification data as you have stated.
Your Y here would be Pass/fail and your Xs are age, experience and qualification.
You can use Chi Square test for each of the Xs and determine if there is any difference between Pass/fail and your various xs.
You null hypothesis for the test would be:
“Proportion of no of people scoring Pass or Fail is independent of the Age buckets classified into”
Hope this helps.

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