In: Statistics and Probability
A statistical consultant was retained by a linen supplier to analyze a survey of hospital purchasing managers. After looking at the data, she realized that the survey had missed several key geographic areas and included some that were outside the target region. Some survey questions were ambiguous. Some respondents failed to answer all the questions or gave silly replies (one manager said he worked 40 hours a day). Of the 1,000 surveys mailed, only 80 were returned.
Given this information, answer the following questions on the discussion board (next screen):
What alternatives are available to the researcher?
Might an imperfect analysis be better than none?
If you were the consultant, how might you respond to the supplier?
answer :
The alternatives are available to the researcher :-
1) Here by taking a gander at the clarification it plainly tells this is a convinience inspecting method.
2) The overview had missed a few key geographic territories , incorporated some that were outside the objective region,survey questions were ambiguous.
3) Hence the best option for the analyst is to re-try the review.
Might an imperfect analysis be better then none :-
1) I would lean toward not to do the examination as opposed to completing a wrong analysis.
2) Because the primary key parts of the overview like geographic boundaries,good substantial inquiries need here.
3) So regardless of whether we do the investigation the outcome which we may misunderstand is, henceforth our translation may go wrong.
4) Which isn't at all useful.Hence I would incline toward not to do any examination to this information.
May i to respond to the supplier :- On the off chance that I were the specialist I would request that the suplier re-try the survey.
1) The above clarification unmistakably says that the review isn't arranged and the inquiries are not approved from a statistician.
2) So I would request that the provider approve the poll and furthermore the set exact topographical boundaries.
3) Also intead of a convinience smpling he can pick some likelihood inspecting like arbitrary examining or methodical sampling.
4) Also I would ascertain the best possible example estimate incorporating the steady loss rate in it.Then regardless of whether numerous individuals won't react we can get precise outcome.