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: X^{2} Goodness-of-Fit Tests for One-Way Tables of Counts (1)
- 14.2: Module 2: X^{2} 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.
Question Availability Color Key
BLACK questions are available nowGRAY questions are under development
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 |