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TAMUCC ORMS 3310 - ORMS 3310 SYLLABUS

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ORMS 3310 – Data Analysis and Statistics – Fall 2011 1ORMS 3310 DATA ANALYSIS AND STATISTICS FALL 2011 Section 004 – 7:00pm - 9:30pm – M – CI 122 INSTRUCTOR: Robert Cutshall, Ph.D. OFFICE HOURS: 2:30pm – 3:15pm – M & W OFFICE: 347 OCNR 5:00pm – 6:50pm – M & W OFFICE PHONE: 825-2665 5:30pm – 6:30pm – T e-mail: [email protected] (and by appointment) course website: http://faculty.tamucc.edu/rcutshall/orms.html COURSE DESCRIPTION: A study of descriptive statistics, probability distributions, the normal distribution, confidence intervals and hypothesis testing, regression analysis and chi-square. COURSE PREREQUISITES: Prerequisite: MATH 1314 and MISY 2305 or equivalents REQUIRED TEXT: Essentials of Statistics for Business and Economics (6th edition), Anderson, Sweeney, and Williams, South-Western Cengage Learning, Mason, OH, 2011: ISBN-13: 978-0-538-75458-3 MAJOR FIELD TEST: The Major Field Test (MFT) is required for all students pursuing the Bachelor of Business Administration degree and will be administered in the MGMT 4388, Administrative Policy and Strategy course. To prepare for this test, business majors are advised to retain their class notes, textbooks and other relevant materials from this class and the other business core courses and to fine-tune their readiness for the MFT by completing the online MFT review available through the COB website at www.cob.tamucc.edu COURSE OBJECTIVES: 1. You will enhance your knowledge of quantitative concepts and skills. 2. You will develop an understanding of key statistical concepts used in business. 3. You will learn basic statistical methods of data analysis, founded in probability theory. 4. You will draw statistical inferences using the results obtained by the application of basic statistical methods. 5. You will apply basic statistical methods to data with the help of the statistical applications found in Microsoft Excel. 6. This course will assist you with your preparation for the Major Field Test to be administered in MGMT 4388. EXPECTATIONS OF STUDENTS: 1. You are EXPECTED to have read the material BEFORE it is covered in class. 2. You are responsible for all material presented in lecture and assigned readings. 3. You are responsible for turning in all assignments on time. 4. You are responsible for staying informed of assignments, meeting locations, and any changes to the syllabus announced during class time. 5. You are responsible for doing everything necessary to learn statistics. 6. You are responsible for knowing and abiding by the rules and policies outlined in this syllabus.ORMS 3310 – Data Analysis and Statistics – Fall 2011 2RELATIONSHIP TO OTHER COURSE WORK: Descriptive and inferential statistics are foundations of business analysis and communications. Specifically, the topics in the course supportive of studies in accounting, finance, management, marketing, and operations management INSTRUCTIONAL METHODOLOGY: Scheduled class time will be used for lectures and student activities. Many of the suggested questions, exercises, and problems will be reviewed during the lectures. You are encouraged to ask questions and to participate in class discussions on statistical methodologies and their applications. In addition, you are encouraged to pay attention to commercials and news items in printed as well as audio-visual media to become aware of the wide use of statistics in our daily lives. EXAMS: Your performance will be evaluated on two regular examinations and a comprehensive exam three. The exam formats will generally be short answer and problems where you must show your work and/or multiple choice. Lectures, readings, class activities, and homework problems will be the basis of these exams. Many of the questions will be similar to questions for review and discussion. Rather than being purely numerical, problems will be presented in word format. You will be allowed to use a Formula sheet for each examination. The formula sheet must be turned in with your examination form. You should KEEP all of your graded exam forms until the final grades have been posted. ****THE USE OF CELL PHONE CALCULATORS ON THE EXAMS ARE NOT PERMITTED.**** MAKEUP EXAMS: Exams are not to be missed for the convenience of the student. You are expected to schedule other activities around the class exam dates. If a major exam is missed due to an excused absence, a make-up exam will be administered at a time and place agreed upon by the student and instructor. In general, make-up exams will be administered within one week of the date of the original exam. Any exam or class activity missed without a pre-approved excuse will be assigned a grade of ZERO. SUGGESTED PRACTICE PROBLEMS: It is the student’s responsibility to work the suggested study questions, exercises, and problems. This is how quantitative topics are learned (through practice). It is the student’s responsibility to ask questions regarding any issues encountered when working the suggested study questions. STATISTICS CASE PROBLEMS: You will be assigned various case problems to complete through out the semester. You will use Microsoft Excel to help you with the statistical calculations. However, you should keep in mind the calculations are only part of the solution. The true value lies in the interpretation of the statistics that you calculate. Hence, you are required to create a professional Managerial Report to go along with your calculations. Each case problem will give you the MINIMUM requirements that should be included in the Managerial Report. NOTE: Turning in the minimum requirements (as defined in the case problem) DOES NOT guarantee that you will receive full credit for the assignment. You are encouraged to think critically about the material you learn and apply it as necessary to the case problem solutions. All case solutions are to be typed as comments into the Microsoft Excel worksheet where the calculations are done. All case solutions are to be turned in as a soft copy that must be e-mailed (name the file with your last name and the chapter e.g. “Smith-ch-3-case.xls”) to the instructor on or before the due date. If you plan not to attend class on the date an assignment is due, it is your responsibility to turn in all parts of the assignment BEFORE the due date. LATE WORK WILL NOT BE


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