## Course Outline

• segmentGetting Started (Don't Skip This Part)
• segmentStatistics and Data Science: A Modeling Approach
• segmentPART I: EXPLORING VARIATION
• segmentChapter 1 - Welcome to Statistics: A Modeling Approach
• segmentChapter 2 - Understanding Data
• segmentChapter 3 - Examining Distributions
• segmentChapter 4 - Explaining Variation
• segmentPART II: MODELING VARIATION
• segmentChapter 5 - A Simple Model
• segmentChapter 6 - Quantifying Error
• segmentChapter 7 - Adding an Explanatory Variable to the Model
• segmentChapter 8 - Models with a Quantitative Explanatory Variable
• segmentPART III: EVALUATING MODELS
• segmentChapter 9 - The Logic of Inference
• segmentChapter 10 - Model Comparison with F
• segmentChapter 11 - Parameter Estimation and Confidence Intervals
• segmentChapter 12 - What You Have Learned
• segmentFinishing Up (Don't Skip This Part!)
• segmentResources

### list Statistics and Data Science (ABC)

Book
• Statistics and Data Science (ABC)

## 4.14 Chapter 4 Review Questions 2

require(coursekata) # run your code here
CK Code: A4_Code_Review2_01
require(coursekata) # run your code here
CK Code: A4_Code_Review2_02
require(coursekata) # run your code here
CK Code: A4_Code_Review2_03
require(coursekata) # run your code here
CK Code: A4_Code_Review2_04
require(coursekata) # run your code here
CK Code: A4_Code_Review2_05
require(coursekata) # run your code here
CK Code: A4_Code_Review2_06
require(coursekata) # run your code here
CK Code: A4_Code_Review2_07
require(coursekata) # run your code here
CK Code: A4_Code_Review2_08
require(coursekata) # run your code here
CK Code: A4_Code_Review2_09