Course Syllabus
NUMBER OF CREDITS : 4
PREREQUISITE: High school higher algebra or Math. 1000

INSTRUCTORS: Engin A. Sungur Jon E. Anderson
OFFICE: 1350 SCIENCE 1330 SCIENCE
TELEPHONE: (320) 589 6325(320) 589 6306
ELECTRONIC OFFICE HOURS: By Appointment. Engin is available for instant messaging through MSN Messenger using user id sungurea@hotmail.com. Feel free to contact me when you are online. I will be posting times for electronic office hours on the course entry page. By Appointment. Jon is available for instant messaging through MSN Messenger using user id jonanderstats@hotmail.com. Feel free to contact me when you are online. I will be posting times for electronic office hours on the course entry page.
E-Mail sungurea@morris.umn.edu anderson@morris.umn.edu
Course E-Mail stat1601@morris.umn.edu

COURSE DESCRIPTION: Scope,nature, tools, language, and interpretation of elementary statistics. Descriptive statistics; graphical and numerical representation of information; measures of location, dispersion, position, and dependence; exploratory data analysis. Elementary probability theory, discrete and continuous probability models. Inferential statistics, point and interval estimation, tests of statistical hypotheses. Inferences involving one or two populations, ANOVA, regression analysis, and chi-square tests; use of statistical computer packages (StatCrunch).

GOALS OF THE COURSE:
  1. Learn to understand the main features of traditional and modern statistics.
  2. Learn how to analyze statistical data properly.
  3. To understand the role of formal statistical theory and informal data analytic methods.
  4. Gain an understanding of statistical methods relevant to upper division interdisciplinary courses.
Our aim is to enable the students to appreciate the richness of Statistical Science invite them to the probabilistic thinking. Statistics is the science of the future. Any technique that you are going to learn will help you to understand the unknown better, and in turn it will increase in your success in other courses and in your future professional career. We strongly encourage you to take the other advanced level statistics courses. We hope that you will like statistics and choose it as a field that you would like to work in.

COURSE MATERIALS:The students should have the following textbook:
MOORE and MCCABE, Introduction to the Practice of Statistics, Sixth Edition, W.H. Freeman and Company, 2009

Recommended WEB Sources
Chance
The Data and Story Library
The Electronic Encyclopedia of Examples and Exercises
Geostat: County and City Data Books
Gallup Poll Web Site
U.S. Census Bureau
STATISTICAL COMPUTING: The StatCrunch statistics package is recommended for this course. It is available for use in the Statistical Computing section of the course. Passcode for the program will be emailed to the registered students.
EXAMINATION POLICY: Three examinations and a final exam will be given. Examinations will be handled electronically. Time table for the examinations is given below:
EXAMINATION
DATE/TIME THE EXAM WILL BE AVAILABLE
DATE/TIME THE EXAM WILL BE DUE
FIRST EXAMINATION
September 24, 2009/
1 pm(Central)
September 28, 2009/
6 pm(Central)
SECOND EXAMINATION
October 22, 2009/
1 pm(Central)
October 26, 2009/
6 pm(Central)
THIRD EXAMINATION
November 25, 2009/
1 pm(Central)
November 30, 2009/
6 pm(Central)
FINAL EXAM
December 16, 2009/
1 pm(Central)
December 18, 2009/
6 pm(Central)
EACH EXAMINATION (INCLUDING THE FINAL) WILL BE OPEN-BOOKS, OPEN-ELECTRONIC SOURCES AND OPEN-NOTES.

ASSIGNMENTS: Homework assignments will be given that correspond to each chapter in the text. Due dates are posted for each assignment on the Moodle course site. All homework assignments are expected to be completed with a word processor in electronic form. Students need to download the assignment MS Word template from the course website, type their answers and insert related graphs. The assignments should be uploaded in Moodle course website. Email submissions to the instructor will not be accepted. No late homeworks will be accepted without a valid excuse. Solutions will be available electronically on the following day that the assignment is due.

LEARNING CHECKS: For each section of the textbook there are learning checks that are linked through the course Moodle site. After you study each section take the learning check. You can take the learning check only once. Your score will be immediately informed on your performance.

COURSE GRADE: The weights of homeworks and exams are given below:
ASSIGNMENTS: 15%
LEARNING CHECKS: 10%
MIDTERM EXAMS: 45%
FINAL EXAM: 30%


DISABILITIES AND MENTAL HEALTH: As a student you may experience a range of issues that can cause barriers to learning, such as strained relationships, increased anxiety, alcohol/drug problems, feeling down, difficulty concentrating and/or lack of motivation. These mental health concerns or stressful events may lead to diminished academic performance or reduce your ability to participate in daily activities. University of Minnesota services are available to assist you with addressing these and other concerns you may be experiencing. You can learn more about the broad range of confidential mental health services available on campus via www.mentalhealth.umn.edu