ORMS 3310DATA ANALYSIS AND STATISTICSSpring 2006Section 002: TR 9:30-10:45a.m. CI 107INSTRUCTOR: Joseph S. Mollick Ph. D. OFFICE HOURS: M 5-7 p.m.and TR 11-1 p.m. OFFICE: 254 FC (and by appointment) OFFICE PHONE: 825-2853E-mail: [email protected] Website: http://www.cob.tamucc.edu/jmollick/ 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 (4th edition), Anderson, Sweeney, and Williams, Thomson South-Western, Mason, OH, 2006COURSE 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. EXPECTATIONS OF STUDENTS:1. You are responsible for all material presented in lecture and assigned readings.2. You are responsible for turning in all assignments or projects on time.3. You are responsible for staying informed of assignments, meeting locations, and any changes to the syllabus announced during class time.4. You are responsible for doing everything necessary to learn statistics.5. You are responsible for knowing and abiding by the rules and policies outlined in this syllabus.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.STATISTICAL RESEARCH PROJECT:You will be given several research projects to choose from. Some of these projects may require you to go out to a real business and conduct interviews with some professionals to explore issues related to the use of statistical tools in businesses. Other projects may involve your use of statistical tools to analyze a data set that you yourself collect or your instructor gives you. You will have to interpret the results and submit the report written in plain English and supported by relevant statistical reports generated by software packages such as Excel, MINITAB or SPSS. A handout and relevant research instruments will be given to you later in the semester to help you complete the research project.EXAMS & QUIZZES: Your performance will be evaluated on FOUR examinations and a comprehensive FINAL exam. The exam formats will generally bemultiple choice, short answer and problems. Lectures, readings, class activities, and suggested homework problems will be the basisof 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 mustbe turned in with your examination form. You should KEEP all of your graded exam forms until the final grades have been posted.Pop quizzes will be given in class to test how well you are studying the chapters, doing the suggested homework and following thelectures in class. You are expected to have read the assigned chapter material before coming to each class so that you canmeaningfully participate in class.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 STUDY QUESTIONS: 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. GRADING: Your grade in this course will be based on your performance on FOUR exams, a comprehensive final exam, quizzes based on assigned homework problems, research project, and any extra-credit points accumulated. PERCENTAGES ARE NOT USED IN GRADING IN THIS COURSE. IF YOU WANT A PARTICULAR LETTER GRADE YOU MUST EARN THE MINIMUM NUMBER OF POINTS FOR THAT LETTER GRADE. For example, for a letter grade of “A” you must earn at least 900 points (in other words 899 points IS NOT an “A”, 899 points IS a letter grade of “B”). The distribution of points per exam and the tentative grading scale are as follows:2ActivityAllocated PointsComments Grading CriteriaAttendance and Class Participation50Daily attendance will be recordedAsking and answering questions, solving problems and explaining ideas, and debating issues to enrich the learning environment.Grade Points RequiredA 900 or moreQuizzes 100Unannounced quizzes to test your progress and give you feedback on your effortsB 800-899Test1 150 Please bring your scantron, pencil and formula sheet C 700-799Test2 150 Please bring your scantron, pencil and formula sheet D 600-699Test3 150 Please bring your scantron, pencil and formula sheet F below 600Test4 150 Please bring your scantron, pencil and formula sheet Research 100 70 points for the paper and 30 points for presentation Final Exam 150 Please bring your own scantron Total1000 ATTENDANCE POLICY:Regular and punctual attendance for the full period of each class is expected. Excessive absences may adversely affect your grade. Attendance of all classes is expected. Should you miss a class, you are responsible for all material covered, including