Summary of How Not To Be Wrong: by Jordan Ellenberg | Includes Analysis
(eBook)

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Average Rating
Published
IRB, 2016.
ISBN
9781683783978
Status
Available Online

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Format
eBook
Language
English

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APA Citation, 7th Edition (style guide)

Various Authors., & Various Authors|AUTHOR. (2016). Summary of How Not To Be Wrong: by Jordan Ellenberg | Includes Analysis . IRB.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Various Authors and Various Authors|AUTHOR. 2016. Summary of How Not To Be Wrong: By Jordan Ellenberg | Includes Analysis. IRB.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Various Authors and Various Authors|AUTHOR. Summary of How Not To Be Wrong: By Jordan Ellenberg | Includes Analysis IRB, 2016.

MLA Citation, 9th Edition (style guide)

Various Authors, and Various Authors|AUTHOR. Summary of How Not To Be Wrong: By Jordan Ellenberg | Includes Analysis IRB, 2016.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

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Grouped Work IDe7ae8f83-c872-c1f9-31e4-60aaebe4fb61-eng
Full titlesummary of how not to be wrong by jordan ellenberg includes analysis
Authorauthors various
Grouping Categorybook
Last Update2024-05-15 02:01:03AM
Last Indexed2024-06-01 06:32:39AM

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Hoopla Extract Information

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    [synopsis] => Summay of How Not To Be Wrong by Jordan Ellenberg | Includes Analysis Preview: How Not to Be Wrong by Jordan Ellenberg attempts to demonstrate real-life applications of mathematics. In schools, students learn math principles in abstract contexts. Math in the real world is used to make accurate predictions, measure impact, evaluate the best choice when a trade-off is needed, and gauge complicated facts. Mathematical understanding gives individuals the ability to determine when unsound logic has been used to arrive at a factually inaccurate conclusion, and how to correct that logic in order "not to be wrong." Inferences require a strong understanding of the implications of certain mathematical tools. Linear projections are one common pitfall: observations tend to regress back to the mean of a set of observations, but people tend to draw linear conclusions even when a curve better describes and predicts the data. Observed data can also be manipulated because there is always a chance that false positives will give the impression of an effect where none exists… PLEASE NOTE: This is key takeaways and analysis of the book and NOT the original book. Inside this Instaread Summary of How Not To Be Wrong: • Overview of the Book • Important People • Key Takeaways • Analysis of Key Takeaways About the Author With Instaread, you can get the key takeaways, summary and analysis of a book in 15 minutes. We read every chapter, identify the key takeaways and analyze them for your convenience.
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