Career Development and Lifestyle Planning



Statistical Analysis 2 Credits BU.510.601.XX[NOTE: Each section must have a separate syllabus.][Day & Time / ex: Monday, 6pm-9pm][Start & End Date / ex: 3/24/15-5/12/15][Semester / ex: Fall 2016][Location / ex: Washington, DC]Instructor[Full Name]Contact Information[Phone Number, (###) ###-####][Email Address]Office Hours[Day(s)/Times]Required Texts & Learning MaterialsBusiness Statistics in Practice; 7th Edition, McGraw-Hill Higher Education, ISBN 13: 9780073521497, ISBN 10: 0073521493. Authors: Bruce Bowerman, Richard O'Connell, and Emily Murphree.Additional learning material may be posted from time to time; these can vary from instructor to instructor.Course DescriptionStudents learn statistical techniques for further study in business, economics, and finance. The course covers sampling distributions, probability, 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 computer software are used.Prerequisite(s)NoneLearning ObjectivesBy the end of this course, students will be able to: Organize and present quantitative data such that trends and conclusions are suggested.Infer some characteristics of a population by examining a portion of the pare characteristics of different populations.Make informed decisions in a probabilistic business environment.Think critically with respect to quantitative information.To view the complete list of Carey Business School’s general learning goals and objectives, visit the Teaching & Learning@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 covered 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. Assignments & RubricsAssignmentLearning ObjectivesWeightHomework + quizzes *1 – 540% to 60% *Final Exam1 – 5The remaining balanceTotal100%* Individual instructor can decide the Homework/quizzes combination (and % weight within range). There will be a combination of homework assignments and in-class quizzes and the final exam in the last lecture. The final exam will be closed book, closed notes. A partial list of formulas and partial probability tables (if needed) will be provided in suitable forms. The entire last lecture will be devoted to the final exam; the exam duration may be 15 minutes shorter to give time for distribution and collection of the exam paper and other material. The instructor will be present to proctor the exam and respond to questions.In-class quiz policy will be announced by individual instructors; students may be asked to sign a similar statement for each quiz and assignment.The following rubric will be used to assess assignments in this course: ?Inadequate(30 pts)Basic(30 pts)Detailed Analysis(40 pts)Selection of Statistical Concept?InadequateNo or little understanding of concept.?BasicSome understanding of concepts. Progress is demonstrated, but lacking specific understanding.?Detailed AnalysisStrong conceptual understanding.?Use of Statistical Formulas?InadequateSelected the incorrect formula.?BasicAttention to detail lacking when solving problems.?Detailed AnalysisDemonstrated strong understanding of formulas and completion of formulas.?Interpretation and Application?InadequateLittle understanding of the interpretation of results. Unclear memo.BasicAdequate interpretation of results. Memo could use improvement.?Detailed AnalysisCorrect interpretation of results. Concise memo with clear explanations and supportive evidence.?GradingThe grade of A is reserved for those who demonstrate extraordinarily excellent performance. The grade of A- is awarded only for excellent performance. The grade for good performance in this course is a B+/B. The grades of D+, D, and D- are not awarded at the graduate level. Please refer to the Carey Business School’s Student Handbook for grade appeal information. Tentative Course Calendar**The instructors reserve the right to alter course content and/or adjust the pace to accommodate class progress. Students are responsible for keeping up with all adjustments to the course calendar.ClassContentSelected topics from chapters?0Introduction, Tabular and graphical representation of data and numerical measures are prerequisites. Students are expected to know this material and may be tested prior to the start of this course.1, 2, 31Basic definitions such as experiment, outcome, event. Probability. Complement, union, intersection, mutually exclusive events.Conditional probability, Bayes’ rule, independent trials. Permutations and combinations (counting rules).42Random variable, probability distributions (and parameters)Expected values.Discrete Probability distributions: Uniform, Binomial, Poisson, Hyper-geometric, Empirical distributionContinuous distributions: Uniform, Exponential, Normal, Using t, 2, F tables (may be covered in a later lecture).Relationship between Poisson and exponential distribution5, 63General discussion on sampling errors, sampling bias. Sampling: Random, Stratified Random, Cluster, and Systematic Sampling distribution of the sample mean and the sample proportions. Central limit theorem.Point estimation of the population mean.Interval estimation (mainly two sided) of the mean (using normal and t distributions), estimation for the proportions (normal approximation)7, 84Hypothesis TestingSingle parameter ( , 2 and p) – z, t, 2 tests, normal approximation for p.Two parameters (means and variances) : z, t with variances assumed (and not assumed) equal, t, paired t, F. Mention comparison of two proportions with normal approximation.Calculate and interpret p value.9, 105One way analysis of variance 2 test of goodness of fit. 2 test for independence11, 126Regression: Simple and multiple linear regression techniques. Time series forecasting: moving average and exponential 13, 14, 167Statistical process control: X bar and R charts, process capability. Applications to quality management178Final Exam ? Some topics included in the course may not be covered in the textbook.? Some topics from other chapters not listed may be covered or pointed out for additional reading.Carey Business School Policies and General InformationBlackboard SiteA Blackboard course site is set up for this course. Each student is expected to check the site throughout the semester as Blackboard will be the primary venue for outside classroom communications between the instructors and the students. Students can access the course site at . Support for Blackboard is available at 1-866-669-6138.Course EvaluationAs a research and learning community, the Carey Business School is committed to continuous improvement. The faculty strongly encourages students to provide complete and honest feedback for this course. Please take this activity seriously; we depend on your feedback to help us improve. Information on how to complete the evaluation will be provided toward the end of the course.Disability ServicesJohns Hopkins University and the Carey Business School are committed to making all academic programs, support services, and facilities accessible. To determine eligibility for accommodations, please contact the Disability Services Office at time of admission and allow at least four weeks prior to the beginning of the first class meeting. Students should contact Priscilla Mint in the Disability Services Office by phone at 410-234-9243, by fax at 443-529-1552, or by email. Honor Code/Code of ConductAll students are expected to view the Carey Business School Honor Code/Code of Conduct tutorial and submit their pledge online.?Students who fail to complete and submit the pledge will have a registrar’s hold on their account. Please contact the student services office via email if you have any questions.Students are not allowed to use any electronic devices during in-class tests. Calculators will be provided if the instructor requires them for test taking. Students must seek permission from the instructor to leave the classroom during an in-class test. Test scripts must not be removed from the classroom during the test.Other Important Academic Policies and ServicesStudents are strongly encouraged to consult the Carey Business School’s Student Handbook and Academic Catalog and Student Resources for information regarding the following items:Statement of Diversity and InclusionStudent Success CenterInclement Weather PolicyCopyright StatementUnless explicitly allowed by the instructor, course materials, class discussions, and examinations are created for and expected to be used by class participants only.?The recording and rebroadcasting of such material, by any means, is forbidden. Violations are subject to sanctions under the Honor Code. ................
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