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GoneBabyGone
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73% of the US population is white
12% of the US population is black
Given a sample size of 1,620 commercials, and ignoring potential variables such as television viewer demographics and self-selection, what are the chances that, drawing a random sample from the population: 952 commercials are white only, 53 are black only, and 465 consist of both blacks and whites? How do I determine if such numbers are statistically significant?
Thanks much.
If you're curious as to why I'm asking, I'm taking a Poli Sci 4000 level class and have to give a presentation on racial bias in the media. I see what appear, on the surface, to be flaws in the author's arguments (such as claiming racial discrimination because 58.8% of commercials are all white and only 3.3% are all black, yet dismissing that 28.7% consist of both black and white bringing cumulative totals to 32% of commercials having blacks and 87.5% of commercials having whites...overlap takes it over 100%).
If my questions above aren't the best way to counter/support the author's claims, what statistical calculation would be?
12% of the US population is black
Given a sample size of 1,620 commercials, and ignoring potential variables such as television viewer demographics and self-selection, what are the chances that, drawing a random sample from the population: 952 commercials are white only, 53 are black only, and 465 consist of both blacks and whites? How do I determine if such numbers are statistically significant?
Thanks much.
If you're curious as to why I'm asking, I'm taking a Poli Sci 4000 level class and have to give a presentation on racial bias in the media. I see what appear, on the surface, to be flaws in the author's arguments (such as claiming racial discrimination because 58.8% of commercials are all white and only 3.3% are all black, yet dismissing that 28.7% consist of both black and white bringing cumulative totals to 32% of commercials having blacks and 87.5% of commercials having whites...overlap takes it over 100%).
If my questions above aren't the best way to counter/support the author's claims, what statistical calculation would be?
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