i have survey response following:
q1 q2 q3 satisfied shorter expected 10 satisfied expected 10 satisfied expected 8 satisfied shorter expected 10 satisfied expected 4 satisfied shorter expected 10 satisfied expected 8 satisfied shorter expected 10 satisfied shorter expected 9 satisfied shorter expected 10 satisfied shorter expected 8 satisfied expected 8 satisfied shorter expected 5 satisfied shorter expected 10 satisfied shorter expected 9 satisfied shorter expected 10 satisfied shorter expected 9 satisfied expected 9 satisfied expected 10 satisfied shorter expected 10 satisfied shorter expected 10 satisfied expected 10 neutral shorter expected 8 satisfied shorter expected 6 satisfied expected 8 satisfied shorter expected 10 satisfied shorter expected 9 unsatisfied expected 3 satisfied shorter expected 10 satisfied shorter expected 9 neutral shorter expected 6 unsatisfied did not receive response 1 satisfied shorter expected 10 unsatisfied expected 1 satisfied shorter expected 10 satisfied shorter expected 8
what best way answer following question: if responder answer q2 "much shorter expected", probability q3 10.
i'm looking explicit answers or how guides can learn in future. accomplish in excel or pandas.
can use logistic regression , assign dummy variable q2? can somehow create correlation matrix see how correlated responses of q2 q3?
you can calculate using formula:
=(countifs($b$2:$b$37,"much shorter expected",$c$2:$c$37,10)/countif($b42:$b$37,"much shorter expected"))*100
we give range b2:b37
check answer "much shorter expected"
when find it, check see if gave 10 q3.
then take number true on total number times answered "much shorter expected", multiply 100 , round 2 decimal places.
formula example:
you can modify formula accept different parameters:
=(countifs($b$2:$b$37,e2,$c$2:$c$37,f2)/countif($b$2:$b$37,e2))*100
and if you're wondering math calculate probability, here steps:
- define events , outcomes.
- divide number of events number of possible outcomes.
- multiply answer 100 make percent.
- use percentage answer.
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