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Understanding and applying basic statistical methods using R Rand R. Wilcox

By: Wilcox, Rand R [VerfasserIn]
Material type: TextTextLanguage: English Publisher: Hoboken, New Jersey Wiley 2016Description: xviii, 477 Seiten DiagrammeContent type: Text Media type: ohne Hilfsmittel zu benutzen Carrier type: BandISBN: 9781119061397; 9781119061410 (electronic); 9781119061403 (electronic)Subject(s): Statistics -- Computer programs | R (Computer program language) | Statistik | R | R (Computer program language) | Statistics Computer programsDDC classification: 519.50285/5133 LOC classification: QA276.45.R3Other classification: CM 4000 | SK 850 | ST 250 | ST 250 R01 Online resources: Autorenbiografie | Verlagsangaben | Inhaltsverzeichnis
Contents:
Numerical summaries of dataPlots plus more basics on summarizing data -- Probability and related concepts -- Sampling distributions -- Confidence intervals -- Hypothesis testing -- Correlation and regression -- Comparing two independent groups -- Comparing more than two independent groups -- Comparing dependent groups -- Multiple comparisons -- Categorical data..
Summary: Numerical summaries of data -- Plots plus more basics on summarizing data -- Probability and related concepts -- Sampling distributions -- Confidence intervals -- Hypothesis testing -- Correlation and regression -- Comparing two independent groups -- Comparing more than two independent groups -- Comparing dependent groups -- Multiple comparisons -- Categorical data
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Literaturverzeichnis: Seiten 465-472

Numerical summaries of dataPlots plus more basics on summarizing data -- Probability and related concepts -- Sampling distributions -- Confidence intervals -- Hypothesis testing -- Correlation and regression -- Comparing two independent groups -- Comparing more than two independent groups -- Comparing dependent groups -- Multiple comparisons -- Categorical data..

Numerical summaries of data -- Plots plus more basics on summarizing data -- Probability and related concepts -- Sampling distributions -- Confidence intervals -- Hypothesis testing -- Correlation and regression -- Comparing two independent groups -- Comparing more than two independent groups -- Comparing dependent groups -- Multiple comparisons -- Categorical data

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