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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., "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"-- |
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Weinberg, Sharon Lawner 1947- VerfasserIn (DE-588)1050691148 (DE-627)784640548 (DE-576)404942105 aut, Statistics using R an integrative approach Sharon Lawner Weinberg (New York University), Daphna Harel (New York University), Sarah Knapp Abramowitz (Drew University, New Jersey), Cambridge New York, NY Port Melbourne New Delhi Singapore Cambridge University Press 2021, xviii, 676 Seiten Illustrationen, Diagramme, Text txt rdacontent, ohne Hilfsmittel zu benutzen n rdamedia, Band nc rdacarrier, Literaturverzeichnis: Seite 664-667, 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., "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"--, R (Computer program language), Mathematical statistics Data processing, Statistics Data processing, s (DE-588)4056995-0 (DE-627)106152955 (DE-576)209119799 Statistik gnd, s (DE-588)4705956-4 (DE-627)356147487 (DE-576)215406362 R Programm gnd, (DE-627), Harel, Daphna 1988- VerfasserIn (DE-588)1216956839 (DE-627)1728595428 aut, Abramowitz, Sarah Knapp 1967- VerfasserIn (DE-588)173601332 (DE-627)698511395 (DE-576)134444728 aut, 9781108755351 ebook, Erscheint auch als Online-Ausgabe Weinberg, Sharon L Statistics using R Cambridge, United Kingdom ; New York, NY : Cambridge University Press, 2021 (DLC)2019059929, https://www.gbv.de/dms/tib-ub-hannover/1693554720.pdf V:DE-601 B:DE-89 pdf/application Inhaltsverzeichnis |
| spellingShingle |
Weinberg, Sharon Lawner, Harel, Daphna, Abramowitz, Sarah Knapp, Statistics using R: an integrative approach, 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., "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"--, R (Computer program language), Mathematical statistics Data processing, Statistics Data processing, Statistik, R Programm |
| title |
Statistics using R: an integrative approach |
| title_auth |
Statistics using R an integrative approach |
| title_full |
Statistics using R an integrative approach Sharon Lawner Weinberg (New York University), Daphna Harel (New York University), Sarah Knapp Abramowitz (Drew University, New Jersey) |
| title_fullStr |
Statistics using R an integrative approach Sharon Lawner Weinberg (New York University), Daphna Harel (New York University), Sarah Knapp Abramowitz (Drew University, New Jersey) |
| title_full_unstemmed |
Statistics using R an integrative approach Sharon Lawner Weinberg (New York University), Daphna Harel (New York University), Sarah Knapp Abramowitz (Drew University, New Jersey) |
| title_short |
Statistics using R |
| title_sort |
statistics using r an integrative approach |
| title_sub |
an integrative approach |
| title_unstemmed |
Statistics using R: an integrative approach |
| topic |
R (Computer program language), Mathematical statistics Data processing, Statistics Data processing, Statistik, R Programm |
| topic_facet |
R (Computer program language), Mathematical statistics, Statistics, Data processing, Statistik, R |
| url |
https://www.gbv.de/dms/tib-ub-hannover/1693554720.pdf |
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