ࡱ> RTQ` #bjbj *<HHHHdD-t(|-~-~-~-~-~-~-$q/h1r---!!!:|-!|-!!rL,TL- fHj,|--0-,K2+ K2L-K2L-0;^!L--!"-DHH Econ 207: Business Statistics Dr. Saleheen Khan Department of Economics Office: 121 Morris Hall Minnesota State University Phone: 389 2711 Fall 2005 E-mail:  HYPERLINK "mailto:saleheen.khan@mnsu.edu" saleheen.khan@mnsu.edu COURSE OBJECTIVES This course provides an introduction to theoretical and applied statistics for business and economics. The main objective is to stress the importance of applying statistical analysis to the solution of common business problems. Every opportunity is utilized to demonstrate the manner in which statistics can effectively facilitate the many decisions that business managers face on an almost daily basis. The general objective of this course is to prepare the students with skills to: Develop proper understanding of conceptual framework needed for statistical analysis, Develop sound quantitative foundation for statistical analysis, Solve business related problems using appropriate statistical tools, and Use regression technique for modeling and forecasting. Upon completion of this course, you should be able to: Understand the vocabulary and methodological issues associated with presentation and analysis of data. Understand single number summary for data sets, e.g., measure of central tendency/dispersion and their use. Understand probability theory and probability distribution. Learn the properties of sampling distribution Make point and interval estimates for population means and proportion; and determine the sample size Perform tests of hypothesis about population means and proportions. Develop a model of your own using simple linear correlation and regression techniques. PREREQUISITE: Math 112 TEXTBOOK - Statistics for Business and Economics (ninth edition), Anderson, Sweeney, and Williams (required) - Workbook ( optional, but recommended) HOMEWORK Homework will be assigned regularly. Students are recommended to make a study group (each consists of 3 to 4 students) and are strongly encouraged to study together to solve homework problems. Practice is the key to be successful in taking a statistics course. Solution to the selected homework problems will be discussed in the class. You will also learn and use statistical software, SPSS, to compute statistical measures. EXAMINATION AND QUIZZES Five quizzes, two mid-term exams and a comprehensive final exam will be given in class during the semester. Exams and quizzes will consist primarily of statistical problems. A calculator will be necessary for computations. Page 2 REVIEW WORKSHEETS A review worksheet will be assigned before every major exam. You should attempt to solve all the problems in the review worksheet. It will prepare you for the exam. GRADING POLICY The total number of possible points in the course is 460. First mid-term : 100 pts Second mid-term : 100 pts Final Exam : 150 pts Homework : 20 pts Quizzes : 60 pts Class participation and attendance : 10 pts Computer Assignments : 20 pts MAKE-UP POLICY There will be no make-ups for missed quizzes regardless of reason. Please do not request me for such. Late assignments will not be accepted. Make-up exam may be given under extreme circumstances. You need to show an official, written university excuse to get that opportunity. For those with an official excuse, a single comprehensive make-up will be given during the last week of the scheduled class. Any student fail to follow this policy will receive an automatic zero for the missed exam(s). OFFICE HOURS My office hours are T R: 12 - 4 or by appointment. I strongly encourage you to stop by my office to discuss your progress. COURSE WEBPAGE A course website has been built. I have posted review for the exams and practice exams. I plan to post more material related to the course. The website has the following URL:  HYPERLINK "http://krypton.mnsu.edu/~khans3/econ207.html" http://krypton.mnsu.edu/~khans3/econ207.html CLASS ATTENDANCE Regular Class attendance is essential to be successful in this class. You will be held responsible for all material presented in class, whether you are present or absent. In the event of an absence, you will need to obtain class notes/assignments for the material missed from another student before the next class. CLASSROOM POLICY I expect you to conduct yourself with professional courtesy in the classroom. You should not talk to other students during lectures unless directed to do so by the professor. Please turn off Cell Phones, Beepers, or Pagers. SPECIAL NOTE Every attempt will be made to accommodate qualified students with disabilities. If you are a student with a documented disability, please see me as early in the semester as possible to discuss the necessary accommodations, and or contact the Disabilities Services Office at (507)-389-2825 or 1-800-627-3529(MRS/TTY Page 3 COURSE OUTLINE Chapter 1: Data and Statistics Chapter 2: Descriptive Statistics: Tabular and Graphical Presentations Chapter 3: Descriptive Statistics: Numerical Measures Quiz 1 ( Ch 1 - 3 ), Computer Assignment ( Ch 2 & 3 ) Chapter 4: Introduction to Probability Quiz 2 ( Ch 4 ), Review for Exam I, Exam I ( Ch 1 - 4 ) Chapter 5: Discrete Probability distributions Chapter 6: Continuous Probability Distributions Quiz 3 ( Ch 5 & 6 ) Chapter 7: Sampling and Sampling Distributions Chapter 8: Interval Estimation Quiz 4 ( Ch 7 & 8 ), Review for Exam II, Exam II ( Ch 5 - 8 ) Chapter 9: Hypothesis Testing Chapter 10: Statistical Inference about Means and Proportions with Two Populations. Quiz 5 ( Ch 9 & 10 ) Chapter 12: Tests of Goodness of Fit and Independence Chapter 13: Analysis of Variance and Experimental Design Chapter 14: Simple Linear Regression Final Exam Review Comprehensive Final ( Emphasis Ch 4 14 ) Check Calendar for Finals Date Make up Exam ( Comprehensive; covering Ch 4-10 ): May 4 Page 4 ASSIGNED PROBLEMS 1. Introduction Chapter 1: 5, 6, 8, 13, 22 2. Descriptive Statistics Chapter 2: 4, 15, 20, 25, 30, 41 Chapter 3: 6, 7, 15, 17, 21, 27, 29, 31, 33, 34, 54, 56 3. Introduction to Probability Chapter 4: 2, 4, 10, 16, 19, 23, 26, 29, 30, 33, 36, 53 4. Probability Distribution Chapter 5: 8, 11, 16, 21, 26, 29, 30, 33, 38, 40, 43, 48, 51, 53, 57, 58, 64, 65 Chapter 6: 2, 6, 9, 10, 15, 19, 21, 23, 40, 45 5. Sampling Distribution Chapter 7: 1, 11, 14, 18, 19, 20, 25, 26, 27, 31, 32, 38, 39, 54 6. Interval Estimation Chapter 8: 2, 6, 13, 16, 20, 27, 30, 31, 33, 34, 35, 60 7. Hypothesis Testing Chapter 9: 16, 17, 27, 34, 37, 42, 44, 57, 68 Chapter 10: 2, 3, 4, 18, 19, 30, 31, 36, 37, 47 8. Tests of Goodness of Fit Chapter 12: 3, 5, 9, 12, 27, 31 9. Analysis of Variance Chapter 13: 1, 2, 8, 11, 15, 26 10. Regression Analysis Chapter 14: 1, 2, 4, 9, 15, 16, 18, 23, 24, 26, 45 ** Please read the lecture notes, textbook chapters, and other supplementary materials regularly as we proceed through the semester. ;- . 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