Stat364  Syllabus   Spring 2007

J.C. Wang, 5503 Everett Tower
e-mail: jung-chao.wang@wmich.edu

Course Homepage: http://www.stat.wmich.edu/wang/364




Office Hours:
12:00-1:00 TR; 11:00-12:00, 1:00-2:30 W; and by appointment

Text:
Probability and Statistics by Jay L. Devore, 6th edition, published by Brooks/Cole - Thomson Learning

Grading Policy:
3 80-minute tests 12% each (February 1, March 1, April 3)
final exam 20% (8:00-10:00 Friday, April 27)
homework 44%

Grading Scale:
E D DC C CB B BA A
below 50 50-55 56-60 61-70 71-75 76-83 84-89 90 or more

Computer use:
We will use Minitab for computer works. However, you are not limited to it.

Homework
There will be 4 homework sets with problems from the text book.  Students are to work on all problems assigned which are important to the learning process.  The instructor reserves the right to select eleven problems from each homework to grade.  Homeworks will be due on January 30, February 27, March 29, and April 19, respectively, at the beginning of the classes of these dates.  Homeworks submitted after the due dates will not be accepted. You are encouraged to discuss with classmates general strategies for solving problems. However, any assignment turned in should be substantially your own work.

Incompletes
Incompletes will be given according to University and Departmental Policy only.  An incomplete is not a substitute for a failing grade.  An incomplete is given ONLY after completing a major portion of the coursework with a PASSING GRADE, and circumstances beyond your control prevent you from completing the remaining coursework on time (documented excuses in these circumstances are, however, required).

Attention:
You are responsible for making yourself aware of and understanding the policies and procedures in the Undergraduate (pp. 274-276) [Graduate (pp. 25-27)] Catalog that pertain to Academic Honesty. These policies include cheating, fabrication, falsification and forgery, multiple submission, plagiarism, complicity and computer misuse. If there is reason to believe you have been involved in academic dishonesty, you will be referred to the Office of Student Conduct. You will be given the opportunity to review the charge(s). If you believe you are not responsible, you will have the opportunity for a hearing. You should consult with me if you are uncertain about an issue of academic honesty prior to the submission of an assignment or test.

Course Contents

Chapter 1: Overview and Descriptive Statistics
  • Population, Sample and Processes (§ 1.1)
  • Measures of Location (§ 1.3)
  • Measures of Variability (§ 1.4)
Chapter 2: Probability
  • Sample Spaces and Events (§ 2.1)
  • Axioms, Intepretations, and Properties of Probability (§ 2.2)
  • Counting Techniques (§ 2.3)
  • Independence (§ 2.5)
Chapters 3, 4, and 5: Random Variables and Probability Distributions
  • Random Variables (§ 3.1)
  • Probability Distributions (§ 3.2)
  • Expected Value, Variance (§ 3.3)
  • Binomial Distributions (§ 3.4)
  • Continuous Distributions (§ 4.1)
  • Normal Distributions and Approximation to the Binomial Distributions (§ 4.3)
  • Random Sampling and the Sampling Distribution, Central Limit Theorem (§ 5.3 and § 5.4)
Chapters 6 and 7: One Sample Point Estimation and Statistical Intervals
  • Point Estimation of a Parameter (§ 6.1)
  • Interval Estimation, Confidence Intervals for Means, Proportions and Variance (§ 7.1 to § 7.4)
Chapter 8: One Sample Hypothesis Tests
  • Hypotheses and Test Procedures (§ 8.1 and § 8.5)
  • Tests About a Population Mean (§ 8.2)
  • Tests Concerning a Population Proportion (§ 8.3)
  • P-Values (§ 8.4)
  • Statistical Significance Versus Practical Significance (§ 8.5)
Chapter 9: Two Sample Inferences
  • Hypothesis Tests and Confidence Intervals for Difference of Two Population Means (§ 9.1 and § 9.2)
  • Analysis of Paired Data (§ 9.3)
  • Inferences Concerning Two Population Proportions (§ 9.4)
Chapter 12: Simple Linear Regression and Correlation
  • Simple Linear Regression Model (§ 12.1)
  • Model Parameter Estimation (§ 12.2)
  • Inference About the Slope (§ 12.3)
  • Inference About the Predicted Means and Prediction of Future Response Values (§ 12.4)
  • Correlation (§ 12.5)
Chapter 14: Analysis of Categorical Data
  • Goodness-of-Fit Test (§ 14.1)
  • Contingency Table (§ 14.3)
Chapter 10: One-Factor Analysis of Variance (ANOVA)
  • One-Factor ANOVA and Multiple Comparisons (§ 10.1 and § 10.2)
2007-04-18