Instructor:     Dr. Guang-Hwa Andy Chang
Office:           1032 Cushwa Hall
Phone No.:   (330) 742-1818
E-mail:          chang@math.ysu.edu   <= virtual office hours
Webpage:     http://www.cis.ysu.edu/~chang/
Office hours:
    11:50 a.m. - 12:50 p.m., Mon. & Wed.,
     4:10 p.m. - 5:40 p.m., Tue. & Thu., or by appointment.
Text:            “Introduction to the Practice of Statistics,” by Moore & McCabe.
                     Publisher: W. H. Freeman and Company, 1993.  Link to class note for first two weeks.

Homework & Projects:      (Term project proposal due Friday, May 29.)

• Project 1:  Reading a Statistical Report.  Due Tuesday, April 7. (Example: Redux Clinical Study)
• Project 2:  A Simple Report.  Due Thursday, April 9.
• Project 3:  Crack the Code.  Due Friday, April 10. (Hint: This paragraph is about statistics.)
• Project 4:  A Summary Report.  Due Friday, April 17.
• Project 5:  Simple Linear Regression.  Due Thursday, April 16.
• Project 6:  Study of Risk Factors.   Due Thursday, April 30.
• Project 7:  Sampling Distribution.   Due Tuesday, May 12.
• Project 8:  Behavior Study.   Due Thursday, May 28.
• Project 9:  Estimation of Proportion.   Due Tuesday, May 26.
• Project 10:  How long it takes to get to school?

Course Objective:

The purpose of this course is for students to learn some fundamental principles of statistics and basic elements of statistical thinking. It includes data exploration and summarization, basic concepts in statistical inference and design of experiment. The main goal is for students to be able to understand and critically evaluate statistical results and conclusions. This knowledge can be applied when readings reports, books or journals both in other courses and in their non-academic lives.

Course Prerequisite: MATH 550 or equivalent.

Course Outline: 
 

Chapter	Sections	Contents
1	1.1 - 1.3	Distributions
2	2.1 - 2.6	Relationships
3	3.1 - 3.4	Producing Data
4	4.1 - 4.4	The Study of Randomness
5	5.1 - 5.3	From Probability to Inference
6	6.1 - 6.3	Introduction to Inference
7	7.1 - 7.3	Inference for Distributions
8	8.1 - 8.3	Inference for Count Data

Optional Sections: 4.4, 5.3, 7.3, 10.1
The course will include the use of SPSS or statistical software determined by the instructor.
 
Grading Policy:

Two tests (each 20%) --------------------  40%
Homework & Computer Projects --------  20%
Pop quizzes ------------------------------  10%
Final Exam (comprehensive)--------------  30%
Total ------------------------------------  100%

90% to 100%         Þ A
80% to below 90% Þ at least a B
70% to below 80% Þ at least a C
60% to below 70% Þ at least a D
below 60%             Þ at most a D

• Make-up tests will only be given to student who misses a test due to an extreme emergency and has notified the instructor within 24 hours after the exam, or a sufficient time period before the exam. The student will be expected to provide verification, such as signed statement and phone number, to verify the reason for his or her absence from the exam.
• No make-up quizzes will be given.

• Homework will be assigned and graded. "Study group" is strongly encouraged. However, each student must hand in their own write-up. If you are having trouble, please see me right away. A notebook should be maintained which contains all homework exercises, properly annotated. I recommend that you work on the homework corresponding to the latest lecture as soon as it is assigned.
• Some homework projects will require the use of computer software SPSS. You need to prepare a 3 1/2" disk formatted for IBM or compatibles.

• It is expected that you will make every possible effort to attend all classes. In boarder line situations, class attendance may affect a student’s grade.
• Although I feel that it is essential for you to attend class, no direct punishment will be assessed to your final grade if you choose not to attend class. Students who missed class are responsible for finding out any pertinent information concerning the course from the instructor.

• The term project should be done by a team of 2 to 4 students, preferably, from different majors.  Teams should be formed before the third week of the quarter.
• The term project will be graded by the following criteria:

     a.  soundness of methodology   40%
     b.  appropriateness of analysis   30%
     c.  effectiveness of communication   30%

• Successful students have found that the subject demands frequent intensive study with lots of problem solving. Participating in group discussions is always helpful to yourself and others in learning.
• If you have any special problem or learning difficulties, please see me immediately.
• A scientific hand calculator that has the mean and standard deviation functions maybe needed.
• If you have a computer at home and are interested in getting a statistical software, student’s edition of SPSS for Window is available at the YSU bookstore.

•     Test I:    Mon., April 27
•     Test II:   Mon., May 18 (postponed to Wed., May 20)
•     Final:      Mon., June 8, 10:30-12:30