Binomial Process?
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- This topic has 3 replies, 4 voices, and was last updated 3 years, 4 months ago by
Chris Seider.
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February 2, 2019 at 10:07 am #235998
mayank_vjParticipant@mayank_vjInclude @mayank_vj in your post and this person will
be notified via email.If I am dealing with a situation of 40% sales reps being unproductive. Isn’t this a binomial distribution which gets approximated to normal becuase we are talking of 500 reps
0February 2, 2019 at 10:51 am #235999
Robert ButlerParticipant@rbutlerInclude @rbutler in your post and this person will
be notified via email.As written your question is meaningless. You will need to give some idea of what it is that you are trying to do. For example, if you are running an analysis of some kind and the outcome is productive yes/no where you have an operational definition of “productive” and you are looking for possible relationships between measured inputs and the yes/no outcome then it is a binomial situation and it has nothing to do with a normal distribution. On the other hand, if it is something else then the answer could be yes/no/maybe.
1February 5, 2019 at 12:31 pm #236049
Chuck WhiteParticipant@jazzchuckInclude @jazzchuck in your post and this person will
be notified via email.@mayank_vj how are you measuring productivity? If your operational definition of unproductive is based on some kind of quantitative measure (e.g., sales calls per week, hit rate, etc.), you will almost always be better off analyzing that quantitative data directly rather than converting it to binomial data.
0February 6, 2019 at 9:23 am #236073
Chris SeiderParticipant@cseiderInclude @cseider in your post and this person will
be notified via email.show your data visually?
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