Learning Statistics with R 1st edition

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Trent Gaugler
Publisher: Cengage Learning

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  • Chapter 0: Getting Started in R
    • 0.1:The Basics of RStudio
    • 0.2: Using R as a Calculator
    • 0.3: Various Modes of Data Storage
    • 0.4: Reading Data from External Files
    • 0.5: Loops
    • 0.6: Package Maintenance

  • Chapter 1: Overview and Descriptive Statistics
    • 1.1: Module 1: Summarizing and Visualizing Quantitative Data (2)
    • 1.2: Module 2: Summarizing and Visualizing Qualitative Data
    • 1.3: Module 3: Some Bivariate Comparative Descriptives and Visualizations
    • 1: R Activities

  • Chapter 2: Probability
    • 2.1: Module 1: Counting Techniques
    • 2.2: Module 2: Simulations to Approximate Probabilities

  • Chapter 3: Discrete Random Variables and Probability Distributions
    • 3.1: Module 1: Named Discrete Distributions (11)
    • 3.2: Module 2: Calculating Means and Variances for Discrete Random Variables
    • 3: R Activities

  • Chapter 4: Continuous Random Variables and Probability Distributions
    • 4.1: Module 1: Named Discrete Distributions (11)
    • 4.2: Module 2: Probability Plots
    • 4: R Activities

  • Chapter 5: Sampling Distributions 1
    • 5.1: Module 1: Estimating Sampling Distributions via Simulation

  • Chapter 6: Sampling Distributions 2
    • 6.1: Module 2: Bias and Variance of Estimators

  • Chapter 7: Statistical Intervals Based on a Single Sample
    • 7.1: Module 1: Confidence Intervals for Population Means, Prediction Intervals for New Observations, and Tolerance Intervals for a Specific Proportion of Observations from a Normal Distribution
    • 7.2: Module 2: Large Sample Confidence Intervals for Population Means
    • 7.3: Module 3: Large Sample Confidence Intervals for Population Proportions
    • 7.4: Module 4: Confidence Intervals for the Variance/Standard Deviation from a Normal Distribution (2)
    • 7: R Activities

  • Chapter 8: Tests of Hypotheses Based on a Single Sample
    • 8.1: Module 1: Hypothesis Tests for Population Means from a Normal Distribution with Unknown Population Variance (1)
    • 8.2: Module 2: Large Sample Hypothesis Tests for Population Means
    • 8.3: Module 3: Large Sample Hypothesis Tests for Population Proportions (1)
    • 8: R Activities

  • Chapter 9: Inferences Based on Two Samples
    • 9.1: Module 1: t-Based Inferences for the Difference in Two Population Means
    • 9.2: Module 2: z-Based Inferences for the Difference in Two Population Means
    • 9.3: Module 3: Analysis of Paired Data (1)
    • 9.4: Module 4: Inferences for the Difference in Two Population Proportions (2)
    • 9.5: Module 5: Hypothesis Test for the Equality of Population Variances from Two Normal Distributions
    • 9: R Activities

  • Chapter 10: The Analysis of Variance
    • 10.1: Module 1: Assessing the Assumptions of the One-Way ANOVA Model
    • 10.2: Module 2: Exploring the Model Estimates and Testing for the Equality of 3 or More Population Means (3)
    • 10.3: Module 3: Testing All Pairwise Comparisons of Population Means via Tukey's Procedure
    • 10: R Activities

  • Chapter 11: Multifactor Analysis of Variance
    • 11.1: Module 1: Assessing the Assumptions of Multifactor ANOVA Models
    • 11.2: Module 2: Exploring the Model Estimates and Tests in Additive ANOVA Models
    • 11.3: Module 3: Exploring the Model Estimates and Tests in ANOVA Models with Interactions

  • Chapter 12: Simple Linear Regression and Correlation
    • 12.1: Module 1: Assessing the Assumptions of Simple Linear Regression Models (2)
    • 12.2: Module 2: Exploring the Model Estimates and Inference for Equation Parameters in Simple Linear Regression Models (2)
    • 12.3: Module 3: Additional Inference in Regression Models (4)
    • 12: R Activities

  • Chapter 13: Nonlinear and Multiple Regression
    • 13.1: Module 1: Fitting Some Basic Multiple Regression Models (1)
    • 13.2: Module 2: Fitting Regression Models with Polynomial Effects
    • 13.3: Module 3: Fitting Logistic Regression Models
    • 13.4: Module 4: Variable Selection and Multicollinearity
    • 13: R Activities

  • Chapter 14: Goodness-of-Fit Tests and Categorial Data Analysis
    • 14.1: Module 1: X2 Goodness-of-Fit Tests for One-Way Tables of Counts (1)
    • 14.2: Module 2: X2 Tests for Two-Way Tables of Counts (1)
    • 14: R Activities

  • Chapter 15: Distribution-Free Tests
    • 15.1: Module 1: One- and Two-Sample Wilcoxon Inferential Procedures
    • 15.2: Module 2: Nonparametric ANOVA Tests
    • 15: R Activities


Gaugler's “Learning Statistics with R” is a free resource available to any instructor in WebAssign. The text will introduce learners to statistical data analysis using the R coding language, which is commonly used by statisticians in the real world. This solution offers a 230-page guide, a WebAssign question bank, and real-world examples that show students how to approach topics using R.

To add this resource to your course, search the name in Free Additional Content located under Edit Class Settings.

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Group Quantity Questions
Chapter 1: Overview and Descriptive Statistics
1.1 2 001.R 002.R
Chapter 2: Probability
2 0  
Chapter 3: Discrete Random Variables and Probability Distributions
3.1 11 001.R 002.R 003.R 004.R 005.R 006.R 007.R 008.R 009.R 010.R 011.R
Chapter 4: Continuous Random Variables and Probability Distributions
4.1 11 001.R 002.R 003.R 004.R 005.R 006.R 007.R 008.R 009.R 010.R 011.R
Chapter 5: Sampling Distributions 1
5 0  
Chapter 6: Sampling Distributions 2
6 0  
Chapter 7: Statistical Intervals Based on a Single Sample
7.4 2 001.R 002.R
Chapter 8: Tests of Hypotheses Based on a Single Sample
8.1 1 001.R
8.3 1 001.R
Chapter 9: Inferences Based on Two Samples
9.3 1 001.R
9.4 2 001.R 002.R
Chapter 10: The Analysis of Variance
10.2 3 001.R 002.R 003.R
Chapter 11: Multifactor Analysis of Variance
11 0  
Chapter 12: Simple Linear Regression and Correlation
12.1 2 001.R 002.R
12.2 2 001.R 002.R
12.3 4 001.R 002.R 003.R 004.R
Chapter 13: Nonlinear and Multiple Regression
13.1 1 001.R
Chapter 14: Goodness-of-Fit Tests and Categorial Data Analysis
14.1 1 001.R
14.2 1 001.R
Chapter 15: Distribution-Free Tests
15 0  
 Chapter 16
16 0  
Total 45