QBA 260 – Business Statistics Section 001 (CRN: 12183) 11:00 – 12:15 TR Section 002 (CRN: 12240) 2:00 – 3:15 TR UCB 104 (Computer Lab) University of Hawaii at Hlo Instructor: Dr. Kimberly Furumo furumo@hawaii.edu Office: K-243, 932-7239 Office Hours: Tuesdays and Thursdays 12:30 – 2:00 pm and 3:30 – 5:00 pm, and by appointment Course Description: This course is designed to provide you with a familiarity of the scope and application of statistical analysis. Topics include the following basic statistical techniques: descriptive measures, elementary probability, sampling, estimation and testing, regression, correlation, and analysis of variance. Examples are drawn from business and economics. Students will learn to use Microsoft Excel© to perform analyses of data. The emphasis is on business applications rather than rigorous mathematics. Course Learning Outcomes: Upon completing the course, the successful student will be able to: Explain the concepts and statistical techniques used to analyze business data. Use the essential tools of applied statistics, including data analysis, basic probability, probability models (distributions), sampling theory, confidence interval estimation, hypothesis testing, analysis of variance, regression and correlation. Apply statistical methodology properly. Use statistical analysis as decision support in business. Understand the complex, dynamic, and multidimensional issues and perspectives involved in statistical analyses of business situations. Employ critical thinking and independent problem-solving skills to business problems. Communicate clearly the results of a statistical analysis. Course Policies: Course Expectations Students are expected to participate actively in their learning by attending all course sessions and reading textbook materials prior to discussion in class. I will not re-teach material covered in class during office hours or scheduled appointments. Please do not email me and ask if you “missed anything important”. I like to think that I offer a service that is always important to students. Academic Dishonesty Policy Academic dishonesty includes representing the work of another as one's own or cheating by any means. Academic dishonesty also includes aiding, abetting, concealing, or attempting such activity. Students must work independently on all on-line quizzes and tests in this course. The usual penalty is an F in the course and disciplinary action by the University. Documented Disabilities Any student with a documented disability who would like to request accommodations should contact the University Disability Services Office - Hale Kauanoe A Wing Lounge, 933-0816 (V), 933-3334 (TTY), shirachi@hawaii.edu - as early in the semester as possible. Kilohana: The Academic Success Center The center provides academic support opportunities for all UH Hilo students that foster their development into independent, self-motivated learners. Students who visit Kilohana have access to subject-specific and academic skills tutoring from UHH students selected for their academic achievement and dedication to helping others succeed. Kilohana is located on the lower level of the Mookini Library and on the web at http://hilo.hawaii.edu/kilohana/ Textbook: Students are required to purchase the textbook and course tool (Connect Plus) to complete this course. Lind, Marchal, & Wathen, Basic Statistics for Business and Economics, 8th edition, McGraw Hill, and the Connect Plus online homework tool can be purchased on-line with a credit or debit card at: http://connect.mheducation.com/class/k-furumo-qba-260---spring-2015-1 Cost of on-line Textbook and the Connect Plus homework tool = $130 Cost of Connect Plus homework tool (no book) = $71.50 Cost of hardcopy book and Connect Plus tool (from Bookstore) = $179 Instructional Method: Students are expected to read the textbook material prior to coverage in class. Your textbook provides several options to help you understand concepts. After reading the chapter, you are encouraged to visit the textbook resources site at http://www.mhhe.com/lindbasic8e (video instructions are linked at Laulima—click Resources—Textbook—Accessing Narrated Power Points). Class time will be used to reinforce concepts, answer questions, and complete mathematical problems that will test your understanding of the material. Students will be required to complete homework assignments and develop models using Microsoft EXCEL. Students may use the computers in the classroom lab or bring their laptops to class. EXCEL will be taught using the Windows operating environment provided on the class computers. Course Grading: On-line homework = 20% In-class Unit Tests (4 @ 15% each) = 60% In-class Final Exam = 20% Homework Homework assignments will be completed using the online course tool called CONNECT Plus. Homework assignments are not timed; however, students must have them completed and submitted by the due date. Total scores for late assignments will be reduced by 10% per day. Tests Four, in-class, tests will be given. Tests will consist of multiple choice questions but require that students complete mathematical problems to obtain correct answers. Students may use hand written notes, calculators and Excel during the tests; however, no use of the Internet will be allowed and access to the online textbook will not be permitted. Students will have one class period to complete each Unit Test. Cell phones will be collected before the test is administered. Students will be allowed to collect their cell phones upon completion of the Unit Test Final Exam The final exam will consist of multiple choice questions but require that students complete mathematical problems to obtain correct answers. Students may use hand written notes, calculators and Excel during the tests; however, no use of the Internet will be allowed and access to the online textbook will not be permitted. Cell phones will be collected before the test is administered. Students will be allowed to collect their cell phones upon completion of the Unit Test. Grading Scale: The following grade scale will be used for this course. Please keep in mind that students earn their grades while faculty simply report and record them. Grade cutoffs are necessary and the following grading scale is firm. Grade Percentage A 92% - 100% A- 90% - 91.99% B+ 88% - 89.99% B 82% - 87.99% B- 80% - 81.99% C+ 78% - 79.99% C 72% - 77.99% C- 70% - 71.99% D 60% - 69.99% F < 60% For example, if your course average is an 81.99% you have earned a B- in the course. If your average is an 82% (.01% higher than the 81.99%) you have earned a B in the course. Students earning the 81.99% will generally feel that the grading scale is “unfair” while students earning the 82% will see the grading scale as “very fair”. However, this is the scale and I will not make exceptions in final grades. Therefore, keep in mind that questions (such as those that follow) will not be effective in changing my mind. “My attendance was perfect; can you make an exception this once?” “Is there any extra credit I can do to raise my grade?” “I am going to lose my financial aid; can you make an exception in this case?” Planned Schedule (subject to change): Week Beginning: Jan 13 Course Content and Requirements Chapter 1: What is Statistics Jan 15 Chapter 2: Describing Data: Tables, Frequencies, etc. Chapter 3: Describing Data: Numerical Measures Jan 20 & 22 Jan 27 TEST 1 (Ch’s 1 – 3) Jan 29 Chapter 4: Describing Data: Displaying & Exploring Data Chapter 5: Probability Concepts Feb 3 & 5 Homework Due Dates HW: Ch’s 1& 2 Due Jan 26 Test Dates HW: Ch 3 Due Jan 26 HW: Ch 4 Due Feb 1 HW: Ch 5 Due Feb 8 Test 1: Jan 27 Feb 10 & 12 Feb 17 Feb 19 Feb 24 Feb 26 Chapter 6: Discrete Probability Distributions Concepts TEST 2 (Ch’s 4 – 6) Chapter 7: Continuous Probability Distributions Chapter 7: Continuous Probability Distributions HW: Ch 6 Due Feb 16 Test 2: Feb 17 HW: Ch 7 Due Mar 1 Chapter 8: Sampling Methods and Central Limit Theorem Mar 3 & 5 Chapter 9: Estimation and Confidence Intervals HW: Ch’s 8 & 9 Due Mar 11 Mar 10 Chapter 9: Estimation and Confidence Intervals HW: Ch’s 8 & 9 Due Mar 11 Mar 12 Mar 17 & 19 TEST 3 (Ch’s 7 – 9) Chapter 10: One-Sample Hypothesis Testing March 23 – 27 Spring Break Chapter 10: One-Sample Mar 31 Hypothesis Testing HW: Ch 10 Due April 5 Chapter 11: Two-Sample Hypothesis Testing Chapter 11: Two-Sample Hypothesis Testing HW: Ch 11 Due April 9 TEST 4 (Ch’s 10 & 11) Chapter 12 – Analysis of Variance HW: Ch 12 Due April 19 Apr 2 Apr 7 & 9 Apr 14 Apr 16 Apr 21 & 23 Apr 28 & 30 Chapter 13: Linear Regression and Correlation Chapter 13: Linear Regression and Correlation HW: Ch 13 Due May 3 Chapter 14: Multiple Regression and Correlation Analysis May 5 Test 3: Mar 12 Chapter 14: Multiple Regression and Correlation HW: Ch 14 Due May 5 Test 4: Apr 9 Analysis Final Exam (Ch’s 12 – 14) Section 001: Thursday, May 14th, 9:40 – 11:40am Section 002: Tuesday, May 12th, 2:00 – 4:00pm