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Schedule
Week 1:
Homework 0: A self-test for Math background
[PDF] [Solutions]
Lecture 1 (July 5): Basic Concepts and Descriptive Statistics
[Slides]
Lecture 2 (July 6): Data Summary and Visualization
[Slides]
Lecture 3 (July 7): Probability Basics (I)
[Slides]
Homework 1
[PDF] [Solutions]
Week 2:
Lecture 4 (July 11): Probability Basics (II)
[Slides]
Lecture 5 (July 12): Conditional Probability
[Slides]
Lecture 6 (July 13): Independence and Probability Calculation
[Slides]
Lecture 7 (July 14): Random Variables and Probability Distributions
[Slides]
Homework 2
[PDF] [Solutions]
Week 3:
Lecture 8 (July 18-19): Population Summary Characteristics
[Slides]
Lecture 9 (July 19-20, 25): Commonly Used Distributions
[Slides]
Midterm Exam (July 21)
[PDF] [Solutions]
Week 4:
Lecture 10 (July 25-26): Weak Law of Large Numbers and Central Limit Theorem
[Slides]
Homework 3
[PDF] [Solutions]
Lecture 11 (July 27-28): Point Estimation
[Slides]
Lecture 12 (July 29, Aug 1): Confidence Intervals (I)
[Slides]
Week 5:
Lecture 13 (Aug 1-2): Confidence Intervals (II)
[Slides]
Lecture 14 (Aug 2-3): Hypothesis Testing (I)
[Slides]
Lecture 15 (Aug 3-4): Hypothesis Testing (II)
[Slides]
Lecture 16 (uncovered): Hypothesis Testing (III)
[Slides]
Homework 4
[PDF] [Solutions]
Week 6:
Final Exam (Aug 10)
[PDF] [Solutions]