Learning Statistics.
(eVideo)

Book Cover
Average Rating
Contributors
Published
[San Francisco, California, USA] : The Great Courses, 2017., Kanopy Streaming, 2019.
Physical Desc
1 online resource (streaming video file) (709 minutes): digital, .flv file, sound
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Format
eVideo
Language
English

Notes

General Note
Title from title frames.
General Note
Film
General Note
In Process Record.
Participants/Performers
Talithia Williams
Date/Time and Place of Event
Originally produced by The Great Courses in 2017.
Description
The ability of statistics to extract insights from a random collection of facts is one of the most astonishing and useful feats of applied mathematics. This course surveys college-level statistics through dozens of exercises conducted through the statistical programming language R, a free, open-source computer language with millions of users worldwide.
System Details
Mode of access: World Wide Web.

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Citations

APA Citation, 7th Edition (style guide)

Williams, T. (2017). Learning Statistics . The Great Courses.

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

Williams, Talithia. 2017. Learning Statistics. The Great Courses.

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

Williams, Talithia. Learning Statistics The Great Courses, 2017.

MLA Citation, 9th Edition (style guide)

Williams, Talithia. Learning Statistics The Great Courses, 2017.

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 ID
0efc2908-5407-6d98-92a8-660156d5c2d9-eng
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Grouping Information

Grouped Work ID0efc2908-5407-6d98-92a8-660156d5c2d9-eng
Full titlelearning statistics
Authorthe great courses
Grouping Categorymovie
Last Update2023-09-27 09:56:57AM
Last Indexed2024-04-30 02:05:21AM

Book Cover Information

Image Sourcesideload
First LoadedDec 27, 2023
Last UsedMar 6, 2024

Marc Record

First DetectedOct 10, 2019 12:00:00 AM
Last File Modification TimeSep 27, 2023 10:00:43 AM

MARC Record

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