Introduction to the Course
This is an introductory course that focuses on descriptive and inferential statistics with applications of various statistical techniques to health services management. Topics include sampling, measures of central tendency and dispersion, probability distributions, hypothesis testing, analysis of variance, correlation, linear regression, and forecasting
This course introduces the principles and methods of descriptive statistics, statistical data analysis and inference. In particular, this course focuses on the study of summarizing data, assumptions and purposes of various data analytic techniques. Computer outputs will be used throughout this course as they provide an important source of learning, demonstrating the application of a certain technique in a given situation. Thus, this course requires the use of a statistical package such as SPSS, MINITAB or Excel.
This is a hybrid course that consists of face-to-face and online lectures, homework assignments, peer-to-peer assignments, and exams.
Attendance in online and face to face sessions is optional but highly recommended. Students who miss class are more likely to fail the course. Students must activate and use an e-mail account that (a) does not change during taking the course and (b) is checked on a daily basis. Students are expected to maintain near daily email contact with the instructor. Late homework assignments are not accepted. If an emergency occurs, please notify the instructor in advance.
The easiest way to help your fellow students is to prepare a visual instruction for them about a small part of the lecture, usually one problem. Following tools are needed for doing so:
Alternatively you can follow these steps if you want to video tape your work on Excel:
This course is available online without password restrictions. If you are taking this course without registration through the University, complete the assignments and exams and receive a letter of completion from the instructor. Write to the instructor at start of the course. If you are a registered student, you will receive a grade and University credit for the course. Video►
Your grade will depend on the following:
Grades are not curved. Curving a grade refers to grading students as the percent of the best student, which increases incentives among students not to help each other. A percent grade is transferred to a letter grade using the following scale:
A+ = 97-100, A = 93-96, A- = 90-92
Students who get a grade lower than B- in the midterm exam are urged to drop the course as subsequent exams are more comprehensive and more difficult. They can remain in class, complete the work, and get ready for re-taking the course later. Students who are weak in quantitative skills are encouraged to audit the course before formally taking the course for credit. Students who have audited the course can take the course as an independent study anytime they wish.
Students are expected to help each other in the course, specially in doing homework assignments. Students should study together, if they can. Grades are not curved. Students are not in competition with each other. If two students work on the same assignment, each must do the work separately and hand it in separately. No group projects. You should not send in the same work under two names. The work must have initiated from the student's computer and not anyone else's computer signature. Do not copy and paste work from each other. You are welcomed to talk to each other, help each other but not to do the work for each other.
During exams you are not allowed to seek help from each other or from anyone else.
Student members of the George Mason University community pledge not to cheat, plagiarize, steal, or lie in matters related to academic work”. (From the 2012-13 Catalog).
Your instructor would like to hear from you. He is available to discuss course material and provide career advice by appointment. Discuss work related problems with your instructor. Bring problems you face with data to class and present it to the class for discussion and advice. After completion of the course, continue to maintain contact. The following additional resources are also available.