BU.510.601.F2 – Statistical Analysis – Yiqing Xing – Page 1 of 4Statistical Analysis 2 CreditsBU.510.601.F2 Mondays, 1:30 - 4:30 8/20/18–10/15/18 Fall 2018 Downtown Baltimore Instructor Yiqing Xing Contact Information [email protected] 410-234-9269 Office Hours 12:00 - 1:00, Mondays and Thursdays Required Texts & Learning Materials Business Statistics in Practice, 8th ed., McGraw-Hill Higher Education, ISBN 978-1-259-54946-5, MHID 1-259-54946-1. Authors: Bruce Bowerman, Richard O'Connell, and Emily Murphree. Note: The 7th edition is acceptable. Additional learning material may be posted from time to time; these can vary from instructor to instructor. Course Description Students learn statistical techniques for further study in business, economics, and finance. The course covers sampling distributions, probability, confidence intervals, hypothesis testing, regression and correlation, basic modeling, analysis of variance, and chi-square testing. The course emphasizes statistics to solve management problems. Case studies, spreadsheets, and Excel Add-in Data Analysis ToolPak computer software are used. Prerequisite(s) None Learning Objectives By the end of this course, students will be able to: 1. Organize and present quantitative data such that trends and conclusions are suggested. 2. Infer some characteristics of a population by examining a portion of the population. 3. Compare characteristics of different populations. 4. Make informed decisions in a probabilistic business environment. 5. Think critically with respect to quantitative information. To view the complete list of the Carey Business School’s general learning goals and objectives, visit the Carey website. Attendance Attendance and class participation is expected from everyone; students are expected to inform in advance if they have to miss a class due to business travel or other important matters. They are, however, responsible for submission of assignments on time as well as keeping up with the material
BU.510.601.F2 – Statistical Analysis – Yiqing Xing – Page 2 of 4covered in the missed lecture. Failure to inform will be treated as absence without excuse. Absence due to illness or family emergency will be handled on individual basis. AssignmentsAssignment Learning Objectives Weight Homework + quizzes * 1 – 5 60% Final Exam 1 – 5 40% Total 100% There will be a combination of homework assignments and in-class quizzes and the final exam in the last lecture.
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