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Sampling distributions - Does science benefit you? Exercise 1 issues #104

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IZE85 opened this issue Aug 10, 2021 · 2 comments
Open

Sampling distributions - Does science benefit you? Exercise 1 issues #104

IZE85 opened this issue Aug 10, 2021 · 2 comments

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@IZE85
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IZE85 commented Aug 10, 2021

The exercise text says "Depending on which 50 people you selected, your estimate could be a bit above or a bit below the true population proportion of 0.26. In general, though, the sample proportion turns out to be a pretty good estimate of the true population proportion, and you were able to get it by sampling less than 1% of the population."

(1) I thought that the true populatin parameter was "0.2".
(2) As far as I'm concerned, we sampled 50 out of 100,000 observations. Isn't that way below "1% of the population"? You're statement is not wrong, if I'm right, but I think the 1% overstate the true dimension of the sample size compared to the population size.

@hardin47
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i can't find the exercise.

meanwhile, i agree with them. i think the 1% issue is a holdover from when the text talked about the population size a lot.

@mine-cetinkaya-rundel
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This seems to be related to labs, specifically 05a-sampling-distribution. I'll move the issue to that repo.

@mine-cetinkaya-rundel mine-cetinkaya-rundel transferred this issue from OpenIntroStat/ims Dec 13, 2021
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