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|a 519.50285/5133
|2 23
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| 100 |
1 |
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|a Weinberg, Sharon L.,
|e author.
|0 http://id.loc.gov/authorities/names/n79041361
|
| 245 |
1 |
0 |
|a Statistics using R :
|b an integrative approach /
|c Sharon Lawner Weinberg, Daphna Harel, Sarah Knapp Abramowitz.
|
| 264 |
|
1 |
|a Cambridge, United Kingdom ;
|a New York, NY :
|b Cambridge University Press,
|c 2021.
|
| 264 |
|
4 |
|c ©2021
|
| 300 |
|
|
|a xviii, 676 pages :
|b illustrations ;
|c 26 cm
|
| 336 |
|
|
|a text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a unmediated
|b n
|2 rdamedia
|
| 338 |
|
|
|a volume
|b nc
|2 rdacarrier
|
| 504 |
|
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|a Includes bibliographical references and index.
|
| 505 |
0 |
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|a Examining univariate distributions -- Measures of location, spread, and skewness -- Re-expressing variables -- Exploring relationships between two variables -- Simple linear regression -- Probability fundamentals -- Theoretical probability models -- The role of sampling in inferential statistics -- Inferences involving the mean of a single population when [Sigma] is known -- Inferences involving the mean when [Sigma] is not known : one-and two sample designs -- Research design : introduction and overview -- One-way analysis of variance -- Two-way analysis of variance -- Correlation and simple regression as inferential techniques -- An introduction to multiple regression -- Two-way interactions in multiple regression -- Nonparametric methods.
|
| 520 |
|
|
|a "This first edition of Statistics Using R: An Integrative Approach capitalizes on the versatility and power of the R software package to create a course of study that links good statistical and data science practice to the analysis of real data. It also benefits from the many years of the authors' experience teaching statistics to undergraduate students at a liberal arts university and to undergraduate and graduate students at a large research university from a variety of disciplines including education, psychology, health, and policy analysis. Because R, a free, open-source software, provides a command line approach to the analysis of data, and, in so doing, this textbook teaches readers the skills necessary to program statistical analyses"--
|c Provided by publisher.
|
| 650 |
|
0 |
|a R (Computer program language)
|0 http://id.loc.gov/authorities/subjects/sh2002004407
|
| 650 |
|
0 |
|a Mathematical statistics
|x Data processing.
|0 http://id.loc.gov/authorities/subjects/sh85082137
|
| 650 |
|
0 |
|a Statistics
|x Data processing.
|0 http://id.loc.gov/authorities/subjects/sh85127583
|
| 650 |
|
6 |
|a R (Langage de programmation)
|0 (CaQQLa)201-0368319
|
| 650 |
|
6 |
|a Statistique mathématique
|x Informatique.
|0 (CaQQLa)201-0160038
|
| 650 |
|
6 |
|a Statistique
|x Informatique.
|0 (CaQQLa)201-0123393
|
| 650 |
|
7 |
|a Mathematical statistics
|x Data processing.
|2 fast
|0 (OCoLC)fst01012133
|
| 650 |
|
7 |
|a R (Computer program language)
|2 fast
|0 (OCoLC)fst01086207
|
| 650 |
|
7 |
|a Statistics
|x Data processing.
|2 fast
|0 (OCoLC)fst01132113
|
| 700 |
1 |
|
|a Harel, Daphna,
|d 1988-
|e author.
|0 http://id.loc.gov/authorities/names/no2020036359
|
| 700 |
1 |
|
|a Abramowitz, Sarah Knapp,
|d 1967-
|e author.
|0 http://id.loc.gov/authorities/names/n2001104824
|
| 776 |
0 |
8 |
|i Online version:
|a Weinberg, Sharon L.
|t Statistics using R
|d Cambridge, United Kingdom ; New York, NY : Cambridge University Press, 2021
|z 9781108755351
|w (DLC) 2019059929
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|a Michigan State University-Library of Michigan
|b Michigan State University
|c MSU Main Library
|d MSU Main Library - Reserve - Circulation, 1 Center
|t 0
|e QA276.45.R3 W45 2021
|h Library of Congress classification
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