Course Information

• Information Sheet
  
  
• Data sets, Errata list, etc.
  
  
• Projects
  
  
• R laboratories
  
  
  Practice #1
  
  Practice #2
  
  Practice #3
  
  Practice #4
  
  Practice #5
  
  
• Lecture Notes
  
  
  1. Chapter 1: Overview and Descriptive Statistics
  
  2. Chapter 2: Probability
  
  3. Chapter 3: Discrete Random Variables and Probability Distributions
  
  4. Chapter 4: Continuous Random Variables and Probability Distributions
  
  5. Chapter 5: Joint Probability Distributions and Random Variables
  
  6. Chapter 6: Point Estimation
  
  6. Chapter 7: Confidence Intervals
  
  
• Homework
  
  
  1. Chapter 1: Problems 13, 14, 18, 23, 25, 34, 36, 42, 48, 54, 66, 70. Due on Sept. 23 at the beginning of the class.
  
  Solutions to Homework of Chapter 1
  
  
  2. Chapter 2: Problems 4, 8, 16, 26, 30, 32, 38, 42, 50, 66, 80. Due on Sept. 30 at the beginning of the class.
  
  Solutions to Homework of Chapter 2
  
  
  3. Chapter 3: Problems 9, 10, 20, 24, 32, 52, 54, 56, 74, 82. Due on Oct. 7 at the beginning of the class.
  
  Solutions to Homework of Chapter 3
  
  4. Chapter 4: Problems 4, 10, 12, 20, 24, 32, 36, 66, 72, 76. THIS HOMEWORK WILL NOT BE COLLECTED AND GRADED!
  
  Solutions to Homework of Chapter 4
  
  5. Chapter 5: Problems 2, 22, 30, 38, 56. Chapter 6, problems 4, 22. Due on Nov. 11 at the beginning of the class.
  
  Solutions to Homework of Chapters 5 & 6
  
  6. Chapter 7: Problems 26, 36, 37, 60. Chapter 8, problems 10, 18, 32, 36, 56, 68. Due on Dec. 2 at the beginning of the class.
  
  
• Course Announcements
  
  
  1. Project #1 is Due on Oct. 9 at the beginning of the class.
  
  2. Project #2 is Due on Nov. 18 at the beginning of the class.
  
  2. Project #3 is Due on Dec. 2 at the beginning of the class.