Statistical Analysis: On-site Syllabus



Statistical Analysis 2 CreditsBU.510.601.XX[NOTE: Each section must have a separate syllabus.][Day & Time][Start & End Dates][Semester / ex: Fall 2019][Location / ex: Harbor East]Instructor[Full Name]Contact Information[Email Address][Phone Number, ###- ###-#### (Optional)]Office Hours[Specify the day and time of the 2 hours that will be dedicated to office hours each week. For evening classes, faculty may wish to hold their office hours by phone or email. While faculty are permitted to state “and by appointment,” office hours should not be held exclusively by appointment.]Required Texts & Learning MaterialsBusiness Statistics in Practice, 9th ed., McGraw-Hill Higher Education. Authors: Bruce Bowerman, Richard O'Connell, and Emily Murphree. Note: Previous editions are also acceptable.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, 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)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 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 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.AssignmentsAssignmentLearning 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.The 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 points)Basic(30 points)Detailed Analysis(40 points)Selection of Statistical Concept?No or little understanding of concept.?Some understanding of concepts. Progress is demonstrated, but lacking specific understanding.?Strong conceptual understanding.?Use of Statistical Formulas?Selected the incorrect formula.?Attention to detail lacking when solving problems.?Demonstrated strong understanding of formulas and completion of formulas.?Interpretation and Application?Little understanding of the interpretation of results. Unclear memo.Adequate interpretation of results. Memo could use improvement.?Correct interpretation of results. Concise memo with clear explanations and supportive evidence.?GradingThe grade of A is reserved for those who demonstrate extraordinarily excellent performance as determined by the instructor. The grade of A- is awarded only for excellent performance. The grades of B+ and B are awarded for good performance. The grades of B-, C+, C, and C- are awarded for adequate but substandard performance.?The grades of D+, D, and D- are not awarded at the graduate level (undergraduate only). The grade of F indicates the student’s failure to satisfactorily complete the course work.Please note that for Core and Foundation courses, a maximum of 25% of students may be awarded an A or A-; the grade point average of the class should not exceed 3.3. For Elective courses, a maximum of 35% of students may be awarded an A or A-; the grade point average of the class should not exceed 3.4. (For classes with 15 students or fewer, the class GPA cap is waived.)Tentative Course CalendarInstructors 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).4, 5 (8th edition 4)2Random 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 distributionConcept of Statistical process control: X bar and R charts, process capability. Applications to quality management9th edition6, 7, 208th edition5, 6, 163General 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).9th edition8-98th edition7, 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.9th edition10, 118th edition9, 105One way analysis of variance 2 test of goodness of fit. 2 test for independence9th edition128th edition11, 126Regression: Simple and multiple linear regression techniques. Time series forecasting: moving average and exponential 9th edition14, 158th edition13, 14, 157Nonparametric Techniques – Chi Square9th edition 138Final 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.Disability ServicesStudents with disabilities who require accommodations for this course should be registered with Disability Support Services and provide a copy of their accommodation letter as soon as possible. If you have not yet registered with Disability Support Services, please contact them to discuss your needs and begin the registration process (carey.disability@jhu.edu or 410-234-9243). For more information, please visit the Disability Support Services webpage.Academic Ethics PolicyCarey expects graduates to be innovative business leaders and exemplary global citizens. The Carey community believes that honesty, integrity, and community responsibility are qualities inherent in an exemplary citizen. The objective of the Academic Ethics Policy (AEP) is to create an environment of trust and respect among all members of the Carey academic community and hold Carey students accountable to the highest standards of academic integrity and excellence.It is the responsibility of every Carey student, faculty member, and staff member to familiarize themselves with the AEP and its procedures. Failure to become acquainted with this information will not excuse any student, faculty, or staff from the responsibility to abide by the AEP. Please contact the Student Services office if you have any questions. For the full policy, please visit the Academic Ethics Policy webpage.Student Conduct CodeThe fundamental purpose of the Johns Hopkins University’s regulation of student conduct is to promote and to protect the health, safety, welfare, property, and rights of all members of the University community as well as to promote the orderly operation of the University and to safeguard its property and facilities. As members of the University community, students accept certain responsibilities which support the educational mission and create an environment in which all students are afforded the same opportunity to succeed academically. Please contact the Student Services office if you have any questions. For the full policy, please visit the Student Conduct Code webpage.Student Success CenterThe Student Success Center offers free online and in-person one-on-one and group coaching in writing, presenting, and quantitative courses. For more information on these services and others, or to book an appointment, please visit the Student Success Center website.Other Important Policies and ServicesStudents are encouraged to consult the Student Handbook and Academic Catalog and Student Services and Resources for information regarding other policies and services.Copyright 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 Academic Ethics Policy. ................
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