COURSE OUTLINE

Approximate Lecture and Reading Schedule
All readings come from the textbook

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Date	Lecture Topic	Assigned Reading	Event
January 8	Introduction	Chapter 3.1 - 3.3
January 10	Experiments and Observational Studies	Chapter 3.1 - 3.3
January 12	Summarizing Data Graphically	Chapter 1.1
January 15	HOLIDAY	HOLIDAY	HOLIDAY
January 17	Summarizing Data Numerically	Chapter 1.2
January 19	Summarizing Data Numerically	Chapter 1.2	Homework 1 DUE
January 22	The Normal Distribution	Chapter 1.3
January 24	Populations	Chapters 3.4 and 4.1
January 26	Probability	Chapter 4.2	Lab 1 DUE
January 29	REVIEW
January 31	MIDTERM I		Midterm I
February 2	Random Variables	Chapter 4.2 and 4.3	Homework 2 DUE
February 5	Other Distributions	Chapter 4.3
February 7	Variances of Random Variables	Chapter 4.4
February 9	Estimating Proportions	Chapter 5.1	Lab 2 DUE & Homework 3 DUE
February 12	Estimating Means	Chapter 5.2
February 14	Confidence Intervals	Chapter 6.1
February 16	Confidence Intervals	Chapter 6.1
February 19	HOLIDAY	HOLIDAY	HOLIDAY
February 21	Introduction to Hypothesis Testing	Chapter 6.2
February 23	Z tests and caution	Chapter 6.2 and 6.3	Lab 4 DUE & Homework 4 DUE
February 26	REVIEW
February 28	MIDTERM II		Midterm II
March 2	Correlation	Chapter 2.1 - 2.2
March 5	Regression	Chapter 2.3
March 7	Regression	Chapter 2.4
March 9	Simiple Linear Regression	Chapter 10.1	Homework 5 DUE & Lab 5 DUE
March 12	Multiple Regression	Chapter 11
March 14 & March 16	Review		Homework 6 DUE & Lab 6 DUE
March 21	Final Exam 11:30am-2:30pm