External
Supplementary Material for Math Models
- Publisher
- LibreTexts
- Source
- LibreTexts
- Language
- EN
- Category
- Basic Sciences
Contents· 71 sections
- 01: Visualizing Data
- 1.01: Visualisation and Transformation of Data
- 1.02: Descriptive Statistics
- 1.2.0E: 1.2.E: Descriptive Statistics (Exercises)
- 1.2.01: Prelude to Descriptive Statistics
- 1.2.02: Stem-and-Leaf Graphs (Stemplots), Line Graphs, and Bar Graphs
- 1.2.03: Histograms, Frequency Polygons, and Time Series Graphs
- 1.2.04: Measures of the Location of the Data
- 1.2.4.4E: 1.2.4.4E: Measures of the Location of the Data (Exercises)
- 1.2.05: Box Plots
- 1.2.06: Measures of the Center of the Data
- 1.2.07: Skewness and the Mean, Median, and Mode
- 1.2.08: Measures of the Spread of the Data
- 1.2.09: Descriptive Statistics (Worksheet)
- 1.03: Three Popular Data Displays
- 1.04: Fitting Models to Data
- 1.05: Reading Data into the R Environment
- 1.5.01: Reading CSV files
- 1.06: Visual Statistics Use R! (Shipunov)
- 02: Emperical Modelsing
- 2.01: Fitting Techniques
- 2.02: One-Factor Regression
- 2.2.01: Visualize the Data
- 2.2.02: The Linear Model Function
- 2.2.03: Evaluating the Quality of the Model
- 2.2.04: Residual Analysis
- 2.03: Linear Regression and Correlation
- 2.3.0E: 2.3.E: Linear Regression and Correlation (Exercises)
- 2.3.01: Prelude to Linear Regression and Correlation
- 2.3.02: Linear Equations
- 2.3.2.2E: 2.3.2.2E: Linear Equations (Exercises)
- 2.3.03: Scatter Plots
- 2.3.3.3E: 2.3.3.3E: Scatter Plots (Exercises)
- 2.3.04: The Regression Equation
- 2.3.4.4E: 2.3.4.4E: The Regression Equation (Exercise)
- 2.3.05: Testing the Significance of the Correlation Coefficient
- 2.3.5.5E: 2.3.5.5E: Testing the Significance of the Correlation Coefficient (Exercises)
- 2.3.06: Prediction
- 2.3.6.6E: 2.3.6.6E: Prediction (Exercises)
- 2.3.07: Outliers
- 2.3.7.7E: 2.3.7.7E: Outliers (Exercises)
- 2.3.08: Regression - Distance from School (Worksheet)
- 2.3.09: Regression - Textbook Cost (Worksheet)
- 2.3.10: Regression - Fuel Efficiency (Worksheet)
- 03: Introduction to R
- 3.01: Why Programming Is Hard to Learn
- 3.02: Using RStudio
- 3.03: Getting Started with R
- 3.04: Variables
- 3.05: Functions
- 3.06: Vectors
- 3.07: Math with Vectors
- 3.08: Data Frames
- 3.09: Using R Libraries
- 3.10: Working with Data Files
- 3.11: Suggested Readings and Videos
- 04: Error Propagation
- 05: The Chi-Square Distribution
- 5.0E: 5.E: The Chi-Square Distribution (Exercises)
- 5.01: Prelude to The Chi-Square Distribution
- 5.02: Facts About the Chi-Square Distribution
- 5.03: Goodness-of-Fit Test
- 5.04: Test of Independence
- 5.05: Test for Homogeneity
- 5.06: Comparison of the Chi-Square Tests
- 5.07: Test of a Single Variance
- 5.08: Lab 1- Chi-Square Goodness-of-Fit (Worksheet)
- 5.09: Lab 2- Chi-Square Test of Independence (Worksheet)
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