Statistics with R : a beginner's guide / Robert Stinerock.
By: Stinerock, Robert Noel [author.].
Publisher: London ; Thousand Oaks, California : SAGE, ©2018Description: xix, 369 pages : illustrations ; 24 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9781473924895.Subject(s): Statistics -- Data processing | R (Computer program language) | Statistics -- Computer programsGenre/Form: Print books.| Current location | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|
| On Shelf | QA276.45.R3 S75 2018 (Browse shelf) | Available | AU00000000013589 |
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| QA276.45.R3 M349 2017 Beginning data science in R : data analysis, visualization, and modelling for the data scientist / | QA276.45.R3 S7413 2012 R for statistics / | QA276.45.R3 S75 2017 Advanced analytics with R and Tableau advanced visual analytical solutions for your business / | QA276.45.R3 S75 2018 Statistics with R : a beginner's guide / | QA276.45 .R3 W53 2017 R for data science : import, tidy, transform, visualize, and model data / | QA276.45.S27 H84 2016 SAS data analytic development : dimensions of software quality / | QA276.45 .S77 M33 2017 An introduction to secondary data analysis with IBM SPSS statistics / |
Includes index.
1. Introduction and R Instructions -- 2. Descriptive Statistics: Tabular and Graphical Methods -- 3. Descriptive Statistics: Numerical Methods -- 4. Introduction to Probability -- 5. Discrete Probability Distributions -- 6. Continuous Probability Distributions -- 7. Point Estimation and Sampling Distributions -- 8. Confidence Interval Estimation -- 9. Hypothesis Tests: Introduction, Basic Concepts, and an Example -- 10. Hypothesis Tests About Means and Proportions: Applications -- 11. Comparisons of Means and Proportions -- 12. Simple Linear Regression -- 13. Multiple Regression.
"The dynamic, student focused textbook provides step-by-step instruction in the use of R and of statistical language as a general research tool. It is ideal for anyone hoping to: Complete an introductory course in statistics Prepare for more advanced statistical courses Gain the transferable analytical skills needed to interpret research from across the social sciences Learn the technical skills needed to present data visually Acquire a basic competence in the use of R. The book provides readers with the conceptual foundation to use applied statistical methods in everyday research. Each statistical method is developed within the context of practical, real-world examples and is supported by carefully developed pedagogy and jargon-free definitions. Theory is introduced as an accessible and adaptable tool and is always contextualized within the pragmatic context of real research projects and definable research questions"--Publisher's website.