Introduction to Biostatistics with JMP
(eBook)

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Published
SAS Institute, 2019.
Status
Available Online

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Format
eBook
Language
English
ISBN
9781635267181

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Citations

APA Citation, 7th Edition (style guide)

Steve Figard., & Steve Figard|AUTHOR. (2019). Introduction to Biostatistics with JMP . SAS Institute.

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

Steve Figard and Steve Figard|AUTHOR. 2019. Introduction to Biostatistics With JMP. SAS Institute.

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

Steve Figard and Steve Figard|AUTHOR. Introduction to Biostatistics With JMP SAS Institute, 2019.

MLA Citation, 9th Edition (style guide)

Steve Figard, and Steve Figard|AUTHOR. Introduction to Biostatistics With JMP SAS Institute, 2019.

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 ID6bd1e2ca-5376-230b-dea8-1d178cf804c0-eng
Full titleintroduction to biostatistics with jmp
Authorfigard steve
Grouping Categorybook
Last Update2022-10-18 21:40:45PM
Last Indexed2024-04-18 00:59:40AM

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First LoadedMay 8, 2023
Last UsedSep 12, 2023

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    [synopsis] => Explore biostatistics using JMP in this refreshing introduction
Presented in an easy-to-understand way, Introduction to Biostatistics with JMP introduces undergraduate students in the biological sciences to the most commonly used (and misused) statistical methods that they will need to analyze their experimental data using JMP. It covers many of the basic topics in statistics using biological examples for exercises so that the student biologists can see the relevance to future work in the problems addressed.
The book starts by teaching students how to become confident in executing the right analysis by thinking like a statistician then moves into the application of specific tests. Using the powerful capabilities of JMP, the book addresses problems requiring analysis by chi-square tests, t tests, ANOVA analysis, various regression models, DOE, and survival analysis.
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