Skip to content

Conversation

@SylviaZhaooo
Copy link
Collaborator

Resolve most of the comments in #413

Resolve most of the suggestions
@SylviaZhaooo SylviaZhaooo requested a review from mmcky April 8, 2024 03:17
@netlify
Copy link

netlify bot commented Apr 8, 2024

Deploy Preview for taupe-gaufre-c4e660 ready!

Name Link
🔨 Latest commit ecaa6d8
🔍 Latest deploy log https://app.netlify.com/sites/taupe-gaufre-c4e660/deploys/6613a60d737aa30008a5c5ea
😎 Deploy Preview https://deploy-preview-415--taupe-gaufre-c4e660.netlify.app
📱 Preview on mobile
Toggle QR Code...

QR Code

Use your smartphone camera to open QR code link.

To edit notification comments on pull requests, go to your Netlify site configuration.

@github-actions
Copy link

github-actions bot commented Apr 8, 2024

@github-actions github-actions bot temporarily deployed to pull request April 8, 2024 03:25 Inactive
Copy link
Contributor

@mmcky mmcky left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

thanks @SylviaZhaooo looks good.

The striking implication of the CLT is that for **any** distribution with
finite [second moment](https://en.wikipedia.org/wiki/Moment_(mathematics)), the simple operation of adding independent
copies **always** leads to a Gaussian curve.
copies **always** leads to a Gaussian(Normal) curve.
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Suggested change
copies **always** leads to a Gaussian(Normal) curve.
copies **always** leads to a Gaussian (Normal) curve.

This is a really minor point but @jstac re: style I think there should be space between Gaussian and (Normal). Do you agree?

Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Yes please, thanks @mmcky and @SylviaZhaooo


In this setting, the LLN tells us if we flip the coin many times, the fraction
of heads that we see will be close to the mean $p$.
of heads that we see will be close to the mean $p$. We use $n$ to represent the number of times the coin is flipped.
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

@SylviaZhaooo Would you mind to put the second sentence on a separate line -- this is our (unusual) convention for the lectures.

Copy link
Collaborator Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Sure!

@github-actions github-actions bot temporarily deployed to pull request April 8, 2024 08:16 Inactive
@jstac
Copy link
Contributor

jstac commented Apr 9, 2024

Perfect, many thanks @SylviaZhaooo

@jstac jstac merged commit 07cba0d into main Apr 9, 2024
@jstac jstac deleted the update_lln_clt branch April 9, 2024 05:06
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

3 participants