Due to time constraints, the instructor reserves the right to adjust the above schedule as needed.  Some materials listed above may not be covered; you are responsible only for materials covered in lectures.

Week	Starting Date	Topic Outline	Suggested Exercises:
1	Sept. 06	Introductory. Describing Data: 1.1 - 1.7 Data Analysis Discriptive Statistics Chapter 9 Estimation Assignment 1 (due Sept. 22) Assignment 2 (due Sept. 29) Assignment 3 (due Oct. 6) Assignment 4(due Oct. 20) Assignment 5 (due Oct. 27) Assignment 6 (due Oct. 3) Assignment 7 (due Nov. 10) Assignment 8 () Assignment 9 MINITAB PROJECT 2 MINITAB PROJECT 3 LAB 1-243 LAB 1	1.1, 1,2, 1.6, 1.8, 1.12, 1.14, 1.10, 1.19, 1.211.25, 1.27,
2	Sept. 13	General Probability: 2.1 - 2.8 Let's Make a Deal Game LAB 2-243	p.29: 2, 3, 8, 10, 12, 14, 18 p.38: 2, 4, 6, 10, 14, 18, 26 p.46: 2, 4, 6, 8, 10, 14
3	Sept. 20	General Probability (continued) Random Variables 3.1 - 3.5 Lab discrete random variables	4.56
4	Sept. 27	Mathematical Expectation 4.1 - 4.5 Discrete probability Distributions: 5.1 - 5.5 Lab_continuous Lab continuous report Z Scores & the Normal Distribution Normal Approximation to Binomial	5.59
5	Oct. 04	Continuous Probability Distributions: 6.1 - 6.8 Functions of Random Variables: 7.1 - 7.3	6.26
6	Oct. 11	Sampling Distributions: 8.1 - 8.8 Estimation Problems: 9.1 - 9.14 LAB 1 estim-244 LAB 2 test-244 LAB 3 Proportion: LAB 4 Chi-square tests DATA to LAB 4   Midterm Exam Thursday, Oct.	7.92
7	Oct. 18	Test of Hypotheses: 10.1- 10.14 Type I and Type II Errors Testing Hypothesis	8.122
8	Oct. 25	Hypotheses Tests (continuation)
9	Nov. 01	Simple Linear Regression: 11.1 - 11.12 LAB 1 Pool or not to pool: DATA to LAB 1: LAB 2 Proportion:	9.115
10	Nov. 08	Simple Linear Regression (continuation):	13.30
11	Nov. 15	Simple linear regression Midterm Exam Thursday, Nov.	11.77
12	Nov. 22	Multiple linear regression :12.1 - 12.13
13	Nov. 29	Analysis of Variance: 13.1 - 13.12 LAB 9 ANOVA LAB 9 ANOVA DAT LAB ANOVA
13	Jan. 27	Multiple Regression: 12.1 - 12.5 Project Multiple Regression LAB 8 Multiple Regression Model Building: 12.6 - 12.14
13	Feb. 2	Using computer package (MINITAB) and review lecture
12	Feb. 16	Nonparametric tests: 14.1 - 14.7
12	Nov. 22	Multiple Linear Regression and Certain Nonlinear Regression Models
12	Nov. 22	One-Factor Experiments: General
12	Nov. 22	Factorial Experiments; Two or More Factors
12	Nov. 22	2k Factorial Experiments and Fractions
12	Nov. 22	Statistical Quality Control