This course is a continuation of Business and Economics Statistics I. It covers the
... “Statistics for Business and Economics”, Anderson, Sweeney and Williams ...
QMB 3200 Business Statistics II Syllabus – Spring 09 USF St. Petersburg Instructor: Office Office Hours: Email
Maria Luisa Corton COB 325 Mon & Wed and by appointment
[email protected]
DESCRIPTION This course is a continuation of Business and Economics Statistics I. It covers the theory of statistical analysis with emphasis upon the practical applications to business scenarios. Topics covered included: hypothesis testing, Chi-Square goodness of fit tests, analysis of variance, linear regression analysis, and time series analysis.
PREREQUISITE: QMB 2100 Business and Economics Statistics I, basic computer competence, and basic MS Excel proficiency.
OBJECTIVE The objective is to provide you with a working knowledge of how to apply statistics to business situations.
LEARNING OUTCOMES At the conclusion of this course you will be able to 1. Develop and refine decision-making skills by basing decision upon the outcome of statistical tests. 2. Analyze real world scenarios and determine the appropriate type of analytical problem solving techniques to utilize. 3. Interpret the results of print-outs (ANOVA, MLR, etc) generated from a selected software program. 4. Understand the reasoning/basis behind each statistical test. 5. Be able to manually solve selected problems.
REQUIRED TEXT: “Statistics for Business and Economics”, Anderson, Sweeney and Williams revised 10 edition. With SPSS.(ISBN: 978-0-324-65837-8). You must notify me early if you have any trouble getting the book. It should be available at the book store and library.
CALCULATOR / COMPUTER REQUIREMENTS: •
You will need a simple NON PROGRAMMABLE calculator for exams, for home work, and occasionally in class. If you do not have a computer, you may use those at the computer lab at COB (third floor). We will use SPSS to work some problems. The computers at the COB lab have the software installed.
ATTENDANCE: • •
This is NOT an ONLINE course. I assume you know it is in your best interest to attend class meetings given that you have registered for the class. CUT CLASSES AT YOUR OWN RISK. I expect you to read the textbook material before class. You are responsible for all the material in each chapter. I may indicate exceptions of this material in class.
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STUDENT EVALUATION & COURSE POLICIES: Your final grade will based on a weighted average of exams, homework and quizzes according to the following distribution scheme Exam 1 25% ; Week of Feb 9 Exam 2 25% ; Week of Mar 9 Exam 3 25% ; Week of Apr 27 Homework + in class exercises 25% Total 100% • • •
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I’ll collect homework in class. You also have the possibility of sending it to me by e-mail within the 24 hours comprising the due date. There is no extra credit available in this class; your exam /HW/in class exercise scores determine your grade. There is no possibility for MAKE UP tests, homework or “in class exercises”. If you cannot take the test because of travel or any other motive for which you can bring a support – such as a plane ticket, a Doctor’s note, a police ticket among others – I will make arrangements for the test. The sooner I know about your plans, the better. Homework will be assigned every other chapter. In class exercises are expected to be worked in groups of 1-2 students. I will collect exercises at the end of each class ONLY. The grade for the “in class exercises” will come from a random sample that we will select “in class” before each Exam. The lowest homework grade will be dropped automatically. You will need to be familiar with Blackboard for grades postings and answers to homework. I will not post answers to exams.
Final letter grade: A+ : [95,100] A : [91,95) A - : [88,91)
B+ : [85,88) B : [81,85) B- : [78,81)
C+ : [75,78) C : [71,75) C- : [68,71)
D: [60,68) F : [0, 60)
CELL PHONE & LAPTOP USE: • •
Cell phones must be turned OFF during class. If your cell phone is ON during any test, 2 points will be subtracted from your exam score. Laptops should remain OFF during lectures. Laptops are not allowed during exams.
BLACKBOARD Notes related to the lectures, answers to quizzes and homework will be posted on the class Blackboard site (https://my.usf.edu/ ).
E-Mail Forwarding (Skip this if you use your USF e-mail account.) If you do not use your USF e-mail account, go to: http://www.acomp.usf.edu/help/netid/forward_mail.html and follow the instructions to forward your e-mail to the account you do use.
UNIVERSITY/COLLEGE OF BUSINESS SECTION Academic Dishonesty: See USF Policy on Academic Dishonesty and Disruption of Academic Process at www.ugs.usf.edu/catalogs/0304/adadap.htm Because of the University’s commitment to academic integrity, plagiarism or cheating on course work or on examinations will result in penalties that may include a grade of “F” for the specific exam or course work and a grade of “F” or “FF” for the course. Any incident of academic dishonesty will be reported to the dean of the college. Definitions and punishment guidelines for Plagiarism, Cheating, and Student Disruption of the Academic Process may be found at the web address listed above.
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Students with Disabilities: Please notify your instructor if you have a learning disability or require special assistance with this course. Confidential personal and learning assistance counseling are made available to students through the Division of Student Affairs. Contact R. Barry McDowell (
[email protected]) for more information.
Religious Holiday: If you must miss an examination due to a religious holiday (or any other reason), notify the instructor during the first two weeks of class. The makeup exam is scheduled during the last week of class.
Copyrights: You may tape lectures and use material from the Web for your own study, but you may NOT sell these materials to others. You do not have copyright protection on any written materials that you hand in this course.
Other Notes: GPA: Undergraduate students who enter USF under the 2001-2002, or later, catalog are required to earn a grade of C-, or better, in every undergraduate core class and an overall GPA of 2.0 for all undergraduate core classes.
BUSINESS PROGRAM LEARNING GOALS (Bus Statistics II): Goal
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[1] INTERPERSONAL AND COMMUNICATION SKILLS Written and verbal communication skills required on exams and HW. [2] ANALYTICAL AND CRITICAL THINKING SKILLS All problems require problem solving and data analysis skills. [3] INFORMATION TECHNOLOGY SKILLS Basic MS Excel and MS Word proficiency is required to complete end of chapter problems. Basic Internet skills and the ability to used Blackboard. [4] REFLECTIVE THINKING AND EXPERIENTIAL LEARNING Statistics is applied to business problems. [5] ETHICAL AND SOCIAL CONSCIOUSNESS There are occasional references to using statistics ethically. [6] Multicultural Competence [7] DISCIPLINE SPECIFIC COMPETENCE
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This schedule is TENTATIVE - class topics covered each class are subject to MINOR modifications according to the pace of the class.
COURSE WEEK-SCHEDULE- Tentative Outline Jan 5 Review – Descriptive statistics, Normal distribution CHAPTER 5: Random variables, Probability distribution, expected value, variance, St Deviation CHAPTER 7: Normal distribution (1, 2, 3, 4, 5, 6, 7) • Population parameters, sample statistics • Main purpose of statistical inference • Why using samples (pg 260 procedure for a random sample) • Samples – from finite pop : with replacement, without replacement; from infinite pop : independent selection of elements • Infinite pop associated with ongoing processes • Point estimation • Sampling distributions • Shape of the sampling distribution: the central limit theorem • The value of the sample distribution of Xbar (pg275) • Properties of point estimators: unbiased, efficient and consistent
Jan 12 Interval Estimation and hypothesis testing CHAPTER 8: Interval Estimation (1, 2, 3) • Confidence level, confidence coefficient, confidence interval when pop standard deviation is know; larger sample size provide smaller margin of error, narrower interval and greater precision. • How to determine the size of the sample to obtain desired precision CHAPTER 9: Hypothesis testing (1, 2, 3, 4, 6, 7, 8) • How to formulate hypothesis • Type I and II errors • Level of significance • Rejection rules : P-value and Critical-value when population St. Dev known and unknown
Jan 26 Inferences about population variance CHAPTER 11: Inferences about a pop variance: Interval estimation and hypothesis testing (1, 2) • Chi-squared distribution, F distribution CHAPTER 12: Goodness of fit and independence (1, 2, 3) • Multinomial, Poisson and normal distributions
Feb 2 Experimental design and analysis of variance (ANOVA) CHAPTER 13: Experimental design and analysis of variance (1, 2, 3, 5)
Feb 16, 23 and Mar 2 Simple Linear regression CHAPTER 14: (1, 2, 3, 4, 8, 9) • Least Squares method, coefficient of determination • Model assumptions • Testing for significance • Residual analysis
Mar 16 Spring Break; Mar 14 last day withdraw with W Mar 23, 30, Apr 6 Multiple regression CHAPTER 15: (1, 2 3, 4, 5, 6, 7, 8) CHAPTER 16: General Linear Model (1)
Apr 13, 20 Forecasting CHAPTER 18: Time series models (1, 2, 3, 4)
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