MATH302 Syllabus - School Course Number Course Name Credit...

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School: Science, Technology, Engineering, and Math Course Number: Math 302 Course Name: Statistics Credit Hours: 3 Credit Hours Length of Course: 16 Weeks Prerequisite: Math 110, College Algebra or an equivalent course Table of Contents Instructor Information Evaluation Procedures Course Description Evaluation Criteria Course Scope Course Outline Course Objectives Policies Course Delivery Method Academic Services Course Resources Supplemental Materials Instructor Information Instructo r : See the Syllabus section in the online classroom Emai l : See the Syllabus section in the online classroom Table of Contents Course Description (Catalog) This is an interactive course designed to help students achieve a greater understanding of the statistical methods and models available to analyze and solve business management problems. The course is designed for students majoring in a business administration or management course of study. Successful completion of this course will provide students with a working knowledge of the principles of statistics, the ability to analyze and solve problems involving probability, and a working knowledge of averages and variations, normal probability distributions, sampling distributions, confidence intervals and testing statistical hypotheses. The emphasis of the course will be on the proper use of statistical techniques and their implementation rather than on mathematical proofs. (Prerequisite: MATH110 formerly MA112). Table of Contents Course Scope 1
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Successful completion of this course will provide you with a working knowledge of the principles of statistics and enable you to solve problems involving simple probability, averages and variations, normal probability distributions, sampling distributions, confidence intervals, and the testing of statistical hypotheses. The course is designed for students majoring in business administration or management programs of study. The emphasis of the course will be on the proper use of statistical techniques and their implementation rather than on mathematical proofs. However, some mathematics is necessary in order to understand the proper application of the techniques. Thus, you should be familiar with basic mathematics as covered in MATH110 or an equivalent course. Table of Contents Course Objectives After completing the course, the student should be able to accomplish these Learning Objectives (LO): LO-1. Distinguish meaningful statistics from those that are not meaningful. LO-2. Categorize data by type, organize data into tabular form, and summarize data graphically. LO-3. Compute and evaluate descriptive measures. LO-4. Explain basic probability theory. LO-5. Recognize and use the properties of different types of distributions, such as normal, uniform, and binomial.
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