Learning Statistics. Episode 11, Hypothesis Testing: 1 Sample
(eVideo)

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Published
[San Francisco, California, USA] : The Great Courses, 2017., Kanopy Streaming, 2019.
Physical Desc
1 online resource (streaming video file) (28 minutes): digital, .flv file, sound
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Format
eVideo
Language
English

Notes

General Note
Title from title frames.
Participants/Performers
Talithia Williams
Date/Time and Place of Event
Originally produced by The Great Courses in 2017.
Description
Start with a hypothesized parameter for a population and determining whether we think a given sample could have come from that population. Practice this important technique, called hypothesis testing, with a single parameter, such as whether a lifestyle change reduces cholesterol. Discover the power of the p-value in gauging the significance of your result.
System Details
Mode of access: World Wide Web.

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
bffe7119-4651-d8b6-c24f-9595554d7d30-eng
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Grouping Information

Grouped Work IDbffe7119-4651-d8b6-c24f-9595554d7d30-eng
Full titlelearning statistics episode 11 hypothesis testing 1 sample
Authorthe great courses
Grouping Categorymovie
Last Update2023-12-13 11:12:01AM
Last Indexed2024-05-18 03:56:39AM

Book Cover Information

Image Sourcesideload
First LoadedFeb 25, 2024
Last UsedFeb 25, 2024

Marc Record

First DetectedOct 10, 2019 12:00:00 AM
Last File Modification TimeDec 13, 2023 11:16:19 AM

MARC Record

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