Statistics using R [electronic resource] : an integrative approach / Sharon Lawner Weinberg, Daphna Harel, Sarah Knapp Abramowitz.
"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' e...
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Language: | English |
Published: |
Cambridge ; New York, NY :
Cambridge University Press,
2021.
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Online Access: | |
Variant Title: |
Statistics Using R: An Integrative Approach |
Format: | Electronic eBook |
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008 | 200228s2021 enk ob 001 0 eng | ||
020 | |z 9781108719148 | ||
020 | |a 9781108755351 (online) | ||
035 | |a (EBZ)ebs26842017e | ||
040 | |a DLC |b eng |d EBZ | ||
042 | |a pcc | ||
050 | 0 | 0 | |a QA276.45.R3 |
100 | 1 | |a Weinberg, Sharon L., |e author. | |
245 | 1 | 0 | |a Statistics using R |h [electronic resource] : |b an integrative approach / |c Sharon Lawner Weinberg, Daphna Harel, Sarah Knapp Abramowitz. |
246 | 2 | |a Statistics Using R: An Integrative Approach | |
264 | 1 | |a Cambridge ; |a New York, NY : |b Cambridge University Press, |c 2021. | |
504 | |a Includes bibliographical references and index. | ||
505 | 0 | |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) | |
650 | 0 | |a Mathematical statistics |x Data processing. | |
650 | 0 | |a Statistics |x Data processing. | |
700 | 1 | |a Harel, Daphna, |d 1988- |e author. | |
700 | 1 | |a Abramowitz, Sarah Knapp, |d 1967- |e author. | |
773 | 0 | |t Cambridge HE website textbooks complete collection |d Cambridge University Press | |
776 | 0 | 8 | |i Print version: |a Weinberg, Sharon L.. |t Statistics using R |d Cambridge ; New York, NY : Cambridge University Press, 2021. |z 9781108719148 |w (DLC) 2019059928 |
856 | 4 | 0 | |y Access Content Online(from Cambridge HE website textbooks complete collection) |u https://ezproxy.msu.edu/login?url=https://doi.org/10.1017/9781108755351 |z Cambridge HE website textbooks complete collection: 2020 |