2) A recent online poll posed the question "Should female athletes be paid the same as men for the work they do?" In all, 13,147 (× 44%) said "yes," 15,012 (× 50%) said “no," and the remaining 1,618 said "unsure." Can the result, that public opinion is that female athletes should not be paid the same as men for the work they do, be trusted? Solution? The sample was fairly large (29,777 people in total). Larger samples should make better predictions about a population. Even if all of the "unsure" responses changed to "yes," that would only total 14,765 responses. That would still give a slight advantage to "no." While this would only be a slim margin, it is very unlikely that all of the "unsure" people would be swayed to vote "yes" anyway, so the results can be trusted.

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2) A recent online poll posed the question "Should female athletes be paid the same as men for the work
they do?" In all, 13,147 (x 44%) said "yes," 15,012 (= 50%) said “no," and the remaining 1,618 said
"unsure." Can the result, that public opinion is that female athletes should not be paid the same as men for
the work they do, be trusted?
Solution?
The sample was fairly large (29,777 people in total). Larger samples should make better predictions about
a population.
Even if all of the "unsure" responses changed to "yes," that would only total 14,765 responses. That would
still give a slight advantage to “no." While this would only be a slim margin, it is very unlikely that all of the
"unsure" people would be swayed to vote "yes" anyway, so the results can be trusted.
Transcribed Image Text:2) A recent online poll posed the question "Should female athletes be paid the same as men for the work they do?" In all, 13,147 (x 44%) said "yes," 15,012 (= 50%) said “no," and the remaining 1,618 said "unsure." Can the result, that public opinion is that female athletes should not be paid the same as men for the work they do, be trusted? Solution? The sample was fairly large (29,777 people in total). Larger samples should make better predictions about a population. Even if all of the "unsure" responses changed to "yes," that would only total 14,765 responses. That would still give a slight advantage to “no." While this would only be a slim margin, it is very unlikely that all of the "unsure" people would be swayed to vote "yes" anyway, so the results can be trusted.
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