What is the proper interpretation of a confidence interval for the difference in two proportions that has a negative number and a positive number, such as (-25% to +35%)? Such an interval suggests that the two proportions are quite similar, and that we cannot tell which population's proportion is higher The analyst has made an error, because such an interval cannot occar when cakulated properly We do not worry about the negative sign, and such an intervalwould have the same interpretation as (25% to 35%). Because 35 25 %, we conclude that the first proportion is higher than the

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What is the proper interpretation of a confidence interval for the
difference in two proportions that has a negative number and a positive
number, such as (-25% to +35%)?
Such an interval suggests that the two proportions are quite similar, and that we
cannot tell which population's proportion is higher
The analyst has made an error, because such an interval cannot occar when
cakulated properly
We do not worry about the negative sign, and such an intervalwould have the
same interpretation as (25% to 35%).
Because 35 25 %, we conclude that the first proportion is higher than the
Transcribed Image Text:What is the proper interpretation of a confidence interval for the difference in two proportions that has a negative number and a positive number, such as (-25% to +35%)? Such an interval suggests that the two proportions are quite similar, and that we cannot tell which population's proportion is higher The analyst has made an error, because such an interval cannot occar when cakulated properly We do not worry about the negative sign, and such an intervalwould have the same interpretation as (25% to 35%). Because 35 25 %, we conclude that the first proportion is higher than the
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