Robert J. MacG. Dawson <[EMAIL PROTECTED]> wrote:
: If I attempt to survey 1000 people and 950 answer, of whom 600 give a
: positive response, I can consider the extremes of 650 in 1000 and 600
: in 1000, create confidence intervals, and say (eg) that _in_any_case_
Don't follow this. Why 650 in 1000, maybe 950 in 1000?
: the proportion of positives in the population at large is over 50%. But
: if I attempt to survey 1000 people and 100 answer with 60 positives,
: I can only consider bounds of 60 in 1000 and 960 in 1000. Neither of
Also have trouble here. 940 in 1000 instead? Thanks, Adam
: these extremes is impossible if the response and the probability of
: responding are strongly correlated. With such numbers I can do nothing;
: the correct outcome is a failure to reject any null hypothesis and a
: conclusion that the data do not support any definite conclusion at all.
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