Applied Managerial Statistics

Applied Managerial Statistics (MATH533) stresses the practical use of statistics in the collecting, organizing, analyzing, interpreting, and presenting of data. Both descriptive and inferential techniques are covered.
Prerequisite(s): None
________________________________________
Terminal Course Objectives DeVry University course content is constructed from curriculum guides developed for each course that are in alignment with specific Terminal Course Objectives. The Terminal Course Objectives (TCOs) define the learning objectives that the student will be required to comprehend and demonstrate by course completion. The TCOs that will be covered in detail each week can be found in the Objectives section for that particular week. Whenever possible, a reference will be made from a particular assignment or discussion back to the TCO that it emphasizes.
A Given a managerial problem and accompanying data set, construct graphs (following principles of ethical data presentation), calculate and interpret numerical summaries appropriate for the situation. Use the graphs and numerical summaries as aids in determining a course of action relative to the problem at hand.
B Given a managerial problem, utilize basic probability concepts, and standard probability distributions, e.g., binomial, normal, as is appropriate, to formulate a course of action which addresses the problem.
C Given a managerial problem and accompanying data set, for which application of a confidence interval is appropriate, construct an interval, assess its validity, and use the confidence interval in developing a course of action relative to a problem.
D Given a managerial problem and accompanying data set, for which the test of an hypothesis is appropriate, conduct an appropriate statistical test, assess the validity of the test, and use the test results to decide on a course of action relative to a problem.
E Given a managerial problem and accompanying data set, for which regression analysis—simple or multiple—is appropriate, fit a regression model to the data, determine the validity and utility of the model, and use the model, if appropriate, to determine a course of action intended to deal with a problem.
F Students should be able to perform the necessary calculations for objectives A through E using technology, whether that is a computer statistical package or the TI-83, and be able to use the output to address a problem at hand.

________________________________________
Blended eLearning This course is an 8-week, intensive course that includes both classroom-based and eLearning activities. Your participation in both areas is essential to your success in this course. You should expect to spend time each week participating in the prescribed activities both before and after our class meeting.
Participation before, during, and after class meetings is critical to your success in this intensive environment.
To get the most out of our weekly class meetings, it is essential that you come to class prepared. The weekly readings listed in the Course Schedule will prepare you for class. Our class meetings, in turn, will prepare you for upcoming exams and assignments.
Through the DeVry eLearning Platform, you will be able to
• review the Syllabus and weekly assignment information;
• submit completed work for grading;
• take quizzes and exams;
• obtain copies of class handouts and notes;
• e-mail the instructor and other students; and
• participate in online discussion of class material.
________________________________________

Place your order now for a similar paper and have exceptional work written by our team of experts to guarantee you A Results

ordernowcc-green

Place your order now for a similar paper and have exceptional work written by our team of experts to guarantee you A Results

ordernowcc-green