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Many thanks @HumphreyYang , great work. @shlff or @maanasee , might you have time to review this by Monday afternoon? Please check for typos, grammaer, spelling, look at the figures and see if they are clear, etc. |
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Thanks @jstac and @HumphreyYang .
Please find my comments below. Elsewhere it looks good to me.
Excellent work @HumphreyYang .
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@maanasee can you let me know if you are editing this branch? Otherwise I will merge this and setup a migration PR from |
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| The LLN gives conditions under which sample moments converge to population moments as sample size increases. |
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| The LLN gives conditions under which sample moments converge to population moments as sample size increases. | |
| The LLN gives conditions under which sample moments converge to population moments as sample size increases. |
Great work @HumphreyYang!
I just have a suggestion that starting off with sample and population might be a little confusing since its an introductory lecture. Maybe a less technical explanation like "LLN states that if you repeat an experiment independently a large number of times and average the result, what you obtain should be close to the expected value" could be used to start with. And the same for CLT.
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hi @mmcky ! No I don't have any edits to make in the branch. |
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@HumphreyYang I will merge this but if you could refer to this closed PR for comments that would be great. |
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This resolves #21 with some format changes pending for the next stage.