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feat: Added Standard Deviation algorithm for Math
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Describe your change:
- [x] Add an algorithm?
- [ ] Fix a bug or typo in an existing algorithm?
- [ ] Documentation change?
Checklist:
- [x] I have read CONTRIBUTING.md.
- [x] This pull request is all my own work -- I have not plagiarized.
- [x] I know that pull requests will not be merged if they fail the automated tests.
- [x] This PR only changes one algorithm file. To ease review, please open separate PRs for separate algorithms.
- [x] All new JavaScript files are placed inside an existing directory.
- [x] All filenames should use the UpperCamelCase (PascalCase) style. There should be no spaces in filenames.
Example:
UserProfile.jsis allowed butuserprofile.js,Userprofile.js,user-Profile.js,userProfile.jsare not - [x] All new algorithms have a URL in their comments that points to Wikipedia or another similar explanation.
- [x] If this pull request resolves one or more open issues then the commit message contains
Fixes: #{$ISSUE_NO}.
Codecov Report
All modified and coverable lines are covered by tests :white_check_mark:
Project coverage is 84.68%. Comparing base (
9010481) to head (c689261).
Additional details and impacted files
@@ Coverage Diff @@
## master #1680 +/- ##
==========================================
+ Coverage 84.65% 84.68% +0.02%
==========================================
Files 378 379 +1
Lines 19744 19776 +32
Branches 2951 2962 +11
==========================================
+ Hits 16715 16747 +32
Misses 3029 3029
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What would you say is the educational benefit in this? This is a pretty straightforward implementation of the standard deviation formula. I don't think there are any particularly interesting insights in this implementation.