Learning Statistics: Concepts and Applications in R: Statistical Design of Experiments
(eVideo)

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Published
The Great Courses, 2017.
Format
eVideo
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Available Online

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Physical Description
30m 0s
Language
English

Citations

APA Citation, 7th Edition (style guide)

Talithia Williams., Talithia Williams|ACTOR., & Talithia Williams|WRITER. (2017). Learning Statistics: Concepts and Applications in R: Statistical Design of Experiments . The Great Courses.

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

Talithia Williams, Talithia Williams|ACTOR and Talithia Williams|WRITER. 2017. Learning Statistics: Concepts and Applications in R: Statistical Design of Experiments. The Great Courses.

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

Talithia Williams, Talithia Williams|ACTOR and Talithia Williams|WRITER. Learning Statistics: Concepts and Applications in R: Statistical Design of Experiments The Great Courses, 2017.

MLA Citation, 9th Edition (style guide)

Talithia Williams, Talithia Williams|ACTOR, and Talithia Williams|WRITER. Learning Statistics: Concepts and Applications in R: Statistical Design of Experiments 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 ID8e2a4271-2596-bb16-dd5a-3875ceffd66f-eng
Full titlelearning statistics concepts and applications in r statistical design of experiments
Authorwilliams talithia
Grouping Categorymovie
Last Update2024-07-10 11:12:22AM
Last Indexed2024-09-28 03:46:39AM

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    [synopsis] => While a creative statistical analysis can sometime salvage a poorly designed experiment, gain an understanding of how experiments can be designed in from the outset to collect far more reliable statistical data. Consider the role of randomization, replication, blocking, and other criteria, along with the use of ANOVA to analyze the results. Work several examples in R.
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