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The Resource Reasoning with data : an introduction to traditional and Bayesian statistics using R, Jeffrey M. Stanton, (electronic book)

Reasoning with data : an introduction to traditional and Bayesian statistics using R, Jeffrey M. Stanton, (electronic book)

Label
Reasoning with data : an introduction to traditional and Bayesian statistics using R
Title
Reasoning with data
Title remainder
an introduction to traditional and Bayesian statistics using R
Statement of responsibility
Jeffrey M. Stanton
Creator
Author
Subject
Genre
Language
eng
Summary
Engaging and accessible, this book teaches readers how to use inferential statistical thinking to check their assumptions, assess evidence about their beliefs, and avoid overinterpreting results that may look more promising than they really are. It provides step-by-step guidance for using both classical (frequentist) and Bayesian approaches to inference. Statistical techniques covered side by side from both frequentist and Bayesian approaches include hypothesis testing, replication, analysis of variance, calculation of effect sizes, regression, time series analysis, and more. Students also get a complete introduction to the open-source R programming language and its key packages. Throughout the text, simple commands in R demonstrate essential data analysis skills using real-data examples. The companion website provides annotated R code for the book's examples, in-class exercises, supplemental reading lists, and links to online videos, interactive materials, and other resources.Pedagogical Features:*Playful, conversational style and gradual approach; suitable for students without strong math backgrounds.*End-of-chapter exercises based on real data supplied in the free R package.*Technical Explanation and Equation/Output boxes.*Appendices on how to install R and work with the sample datasets
Member of
Cataloging source
  • StDuBDS
  • StDuBDS
http://library.link/vocab/creatorDate
1961-
http://library.link/vocab/creatorName
Stanton, Jeffrey M.
Dewey number
519.5028553
Index
no index present
LC call number
QA279.5
Literary form
non fiction
http://library.link/vocab/subjectName
  • Bayesian statistical decision theory
  • Mathematical statistics
  • Bayesian statistical decision theory
  • Mathematical statistics
  • R (Computer program language)
Target audience
specialized
Label
Reasoning with data : an introduction to traditional and Bayesian statistics using R, Jeffrey M. Stanton, (electronic book)
Instantiates
Publication
Carrier category
online resource
Carrier MARC source
rdacarrier
Content category
text
Content type MARC source
rdacontent
Contents
<p>Introduction<br>Getting Started<br>1. Statistical Vocabulary<br>Descriptive Statistics<br>Measures of Central Tendency<br>Measures of Dispersion<br>Distributions and Their Shapes<br>Conclusion<br>Exercises<br>2. Reasoning with Probability<br>Outcome Tables<br>Contingency Tables<br>Conclusion<br>Exercises<br>3. Probabilities in the Long Run<br>Sampling<br>Repetitious Sampling with R<br>Using Sampling Distributions and Quantiles to Think about Probabilities<br>Conclusion<br>Exercises<br>4. Introducing the Logic of Inference Using Confidence Intervals<br>Exploring the Variability of Sample Means with Repetitious Sampling<br>Our First Inferential Test: The Confidence Interval<br>Conclusion<br>Exercises<br>5. Bayesian and Traditional Hypothesis Testing<br>The Null Hypothesis Significance Test<br>Replication and the NHST<br>Conclusion<br>Exercises<br>6. Comparing Groups and Analyzing Experiments<br>Frequentist Approach to ANOVA<br>Bayesian Approach to ANOVA<br>Finding an Effect<br>Conclusion<br>Exercises<br>7. Associations between Variables<br>Inferential Reasoning about Correlation<br>Null Hypothesis Testing on the Correlation<br>Bayesian Tests on the Correlation Coefficient<br>Categorical Associations<br>Exploring the Chi-Square Distribution with a Simulation<br>The Chi-Square Test with Real Data<br>Bayesian Approach to Chi-Square Test<br>Conclusion<br>Exercises<br>8. Linear Multiple Regression<br>Bayesian Approach to Linear Regression<br>A Linear Regression Model with Real Data<br>Conclusion<br>Exercises<br>9. Interactions in ANOVA and Regression<br>Interactions in ANOVA<br>Interactions in Multiple Regression<br>Bayesian Analysis of Regression Interactions<br>Conclusion<br>Exercises<br>10. Logistic Regression<br>A Logistic Regression Model with Real Data<br>Bayesian Estimation of Logistic Regression<br>Conclusion<br>Exercises<br>11. Analyzing Change over Time<br>Repeated Measures Analysis<br>Time-Series Analysis<br>Exploring a Time Series with Real Data<br>Finding Change Points in Time Series<br>Probabilities in Change-Point Analysis<br>Conclusion<br>Exercises<br>12. Dealing with Too Many Variables<br>Internal Consistency Reliability<br>Rotation<br>Conclusion<br>Exercises<br>13. All Together Now<br>The Big Picture<br>Appendix A. Getting Started with R<br>Running R and Typing Commands<br>Installing Packages<br>Quitting, Saving, and Restoring<br>Conclusion<br>Appendix B. Working with Data Sets in R<br>Data Frames in R<br>Reading Data Frames from External Files<br>Appendix C. Using dplyr with Data Frames<br>References<br>Index<br></p>
Control code
AH32199632
Extent
325 pages
Form of item
electronic
Governing access note
After 5 minutes Preview, click on &#x32;Request Access&#x33;, fill in a form with your details. If triggered, the book will be loaned and tied to the one user for 1 week, during which time users can read or download as they choose. 4th user request triggers auto-purchase
Isbn
9781462530298
Media category
computer
Media MARC source
rdamedia
Specific material designation
remote
Label
Reasoning with data : an introduction to traditional and Bayesian statistics using R, Jeffrey M. Stanton, (electronic book)
Publication
Carrier category
online resource
Carrier MARC source
rdacarrier
Content category
text
Content type MARC source
rdacontent
Contents
<p>Introduction<br>Getting Started<br>1. Statistical Vocabulary<br>Descriptive Statistics<br>Measures of Central Tendency<br>Measures of Dispersion<br>Distributions and Their Shapes<br>Conclusion<br>Exercises<br>2. Reasoning with Probability<br>Outcome Tables<br>Contingency Tables<br>Conclusion<br>Exercises<br>3. Probabilities in the Long Run<br>Sampling<br>Repetitious Sampling with R<br>Using Sampling Distributions and Quantiles to Think about Probabilities<br>Conclusion<br>Exercises<br>4. Introducing the Logic of Inference Using Confidence Intervals<br>Exploring the Variability of Sample Means with Repetitious Sampling<br>Our First Inferential Test: The Confidence Interval<br>Conclusion<br>Exercises<br>5. Bayesian and Traditional Hypothesis Testing<br>The Null Hypothesis Significance Test<br>Replication and the NHST<br>Conclusion<br>Exercises<br>6. Comparing Groups and Analyzing Experiments<br>Frequentist Approach to ANOVA<br>Bayesian Approach to ANOVA<br>Finding an Effect<br>Conclusion<br>Exercises<br>7. Associations between Variables<br>Inferential Reasoning about Correlation<br>Null Hypothesis Testing on the Correlation<br>Bayesian Tests on the Correlation Coefficient<br>Categorical Associations<br>Exploring the Chi-Square Distribution with a Simulation<br>The Chi-Square Test with Real Data<br>Bayesian Approach to Chi-Square Test<br>Conclusion<br>Exercises<br>8. Linear Multiple Regression<br>Bayesian Approach to Linear Regression<br>A Linear Regression Model with Real Data<br>Conclusion<br>Exercises<br>9. Interactions in ANOVA and Regression<br>Interactions in ANOVA<br>Interactions in Multiple Regression<br>Bayesian Analysis of Regression Interactions<br>Conclusion<br>Exercises<br>10. Logistic Regression<br>A Logistic Regression Model with Real Data<br>Bayesian Estimation of Logistic Regression<br>Conclusion<br>Exercises<br>11. Analyzing Change over Time<br>Repeated Measures Analysis<br>Time-Series Analysis<br>Exploring a Time Series with Real Data<br>Finding Change Points in Time Series<br>Probabilities in Change-Point Analysis<br>Conclusion<br>Exercises<br>12. Dealing with Too Many Variables<br>Internal Consistency Reliability<br>Rotation<br>Conclusion<br>Exercises<br>13. All Together Now<br>The Big Picture<br>Appendix A. Getting Started with R<br>Running R and Typing Commands<br>Installing Packages<br>Quitting, Saving, and Restoring<br>Conclusion<br>Appendix B. Working with Data Sets in R<br>Data Frames in R<br>Reading Data Frames from External Files<br>Appendix C. Using dplyr with Data Frames<br>References<br>Index<br></p>
Control code
AH32199632
Extent
325 pages
Form of item
electronic
Governing access note
After 5 minutes Preview, click on &#x32;Request Access&#x33;, fill in a form with your details. If triggered, the book will be loaned and tied to the one user for 1 week, during which time users can read or download as they choose. 4th user request triggers auto-purchase
Isbn
9781462530298
Media category
computer
Media MARC source
rdamedia
Specific material designation
remote

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