Statistical Analysis - Carey Business School



Statistical Analysis2 CreditsBU.510.601.XX [NOTE: Each section must have a separate syllabus.][Start & End Date / ex: 3/24/15-5/12/15][Semester / ex: Spring 2016]Location: OnlineInstructor[Full Name]Contact Information[Phone Number, (###) ###-####][Email Address]Office Hours[List the day(s)/times of your virtual office hours. Indicate how you will respond to calls and emails. Ex: “Weekdays, 9am-5pm (EST), or by appointment. Calls and emails will be responded to within 48 hours.”]Required Texts & Learning MaterialsBusiness Statistics in Practice; 7th Edition, McGraw-Hill Higher Education, ISBN 13: 9780073521497, MHID 10: 0073521493. Authors: Bruce Bowerman, Richard O'Connell, and Emily Murphree.Technology RequirementsDesktop or laptop computerBroadband Internet accessUp-to-date virus protection softwareWebcam (most laptops have built-in webcams)Microphone (most webcams and laptops have built-in microphones)Excel softwareSimple calculator for Final Exam (a simple desk calculator or the calculator that comes standard on Windows and iOS is suitable; no smart phone calculators can be used for the final)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 usedPrerequisite(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.Course PoliciesAttendanceAttendance of synchronous online sessions is [pick either “mandatory” or “highly recommended” based on your course design]. This course will have [state # of sessions] synchronous online sessions, all of which will be delivered via Adobe Connect. To access the Adobe Connect meeting room for this course, go to [insert the Adobe Connect URL for the course meeting room here].ParticipationOnline class participation is part of each student’s course grade; active participation is required for students to successfully complete the course. Students are expected to participate in all assigned online class activities and municationA Q&A discussion board has been set up as a place for students to submit questions to the instructor regarding how to navigate the course, including the course content, course assignments, course site, and so on. The online discussion format allows students to see the questions that their classmates have already asked, as well as the answers that have been provided by the instructor. The instructor will check the Q&A discussion board and answer questions [indicate how often the discussion board will be checked—daily, weekly, twice a week, etc.].Note: Students who have a question that is urgent, or that is regarding a personal matter (such as grades), should contact the instructor directly at [insert your email]. Otherwise, students are encouraged to use the course’s Q&A discussion board as their primary method for asking questions. For technology support questions, please contact the Personal Support Center. Toll-free: 855-270-4436, Ext. 4. Email: carey@Discussion BoardsInteracting with other students via discussion boards is an important part of this course, and will require prompt postings and responses. Discussions will occur every week and will focus on a particular statistical problem or question.Discussion Board RubricTo ensure that all students are contributing in a substantive way to class discussions, we will use the following rubric to grade your participation:Discussion Board Participation CriteriaIncompleteCompleteTimeliness and ContentPostings are submitted within the assigned time period and apply course concepts.01Exam ProctoringWe will use a product called Software Secure’s Remote Proctor NOW to ensure the highest level of academic integrity of the exams. Please remember that as a student of the Carey Business School, you have agreed to complete your coursework with integrity. Remote Proctor NOW requires a webcam and rmation regarding the Remote Proctoring setup and exam conditions will be posted on the course website.Assignments Important DatesThe due dates for your assignments can be found in the calendar area of the course. Please review these. In addition, the instructor will post reminders prior to the due dates in the announcements.Scenario AssignmentsIn this course, you will be playing the central character of a business consultant who has been brought on to help a food manufacturer, Princess Foods Corporation, manage a period of growth and expansion. You will be aiding in decisions across multiple functional areas of the Princess Foods Corporation business by submitting memos with supportive data each week. There will be two mini-cases and ten smaller scenario assignments throughout the semester.Graded QuizzesThere will be seven online Graded Quizzes. The purpose of the quizzes is to help you keep current with the course content and to assess your knowledge of the concepts presented in the readings, screencast tutorials, and multimedia introductions. Online Graded Quizzes need to be finished by the due date. Graded Quizzes are located in the Assignments folder of each module. You will not see all of them until you successful pass (< 75%), the quiz from the previous unit. To prepare for the quiz, there is a non-graded practice test that you may take.DiscussionsThere will be a weekly discussion board on Blackboard on statistical topics. There is a forum and statistical question each week. You are required to post an initial thread by Wednesday, 11:59pm ET and a final response by Sunday, 11:58pm ET each week.Final ExamThe final exam is a three-hour comprehensive test delivered on Blackboard. Is open-note, open-book and consists of 15 multiple-choice and fill-in-the-blank questions. All questions require calculations.RubricsIn order to understand what is expected of you for each assignment, please check out the rubrics below. These tables detail the requirements of each assignment and the benchmarks for success.Inadequate 0<4Basic 4<7Detailed Analysis 7-10Selection of Statistical ConceptInadequateNo or little understanding of concept.BasicSome understanding of concepts. Progress is demonstrated, but lacking specific understanding.Detailed AnalysisStrong conceptual understanding.Use of Statistical FormulasInadequateSelected the incorrect formula.BasicAttention to detail lacking when solving problems.Detailed AnalysisDemonstrated strong understanding of formulas and completion of formulas.Interpretation and ApplicationInadequateLittle 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. CategoryCourse ObjectivesPercentageScenario AssignmentsConfidence Interval Mini Case 10%Linear Regression Mini Case 10%10 scenario assignments @ 4%1, 2, 3, 4, 560%Weekly Graded QuizzesEach Graded Quiz is worth 1% of the grade1, 2, 3, 4, 57%DiscussionsEach discussion is worth 1% of the grade4, 57%Final Exam1, 2, 3, 4, 526%Total100%Please refer to the Carey Business School’s Student Handbook for grade appeal informationCarey 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 . Student Technology ResourcesPersonal Support Center (PSC): Toll-free: 855-270-4436, Ext. 4 Local: 410-235-0545, Ext. 4Email: carey@Introduction to Blackboard Introduction to Adobe ConnectCourse 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.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.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.[You may also use the calendar to indicate dates/times for the synchronous online sessions.]Module and DateLearning Activities and AssignmentsModule 1 Statistical Relevance [dates]Readings and VideoChapters 1, 2, 3Multimedia Introduction and Embedded Videos (Hans Rosling, Dr. Robeson’s Videos)Screencast TutorialsPracticeComplete non-graded activity by 11:59pm ET [date]Scenario AssignmentsM1a Organizing and Interpreting Data M1b Bayes TheoremM1c Empirical RuleSubmit using Memo Templates in Assignment Submissions Area by 11:59pm ET [date]Discussion AssignmentYour introduction is due by 11:59pm ET [date]. Final post by 11:59pm ET [date].Graded QuizSubmit by 11:59pm ET [date]You must score 75% or higher to advance to the next quiz; you can take the quiz an unlimited number of times.Module 2 Random Variable Distributions [dates]Readings and VideoChapters 4, 5, 6Multimedia Introduction and Embedded VideosScreencast TutorialsPracticeComplete non-graded activity by 11:59pm ET [date]Scenario AssignmentsM2a Random Variables DistributionM2b Normal Distribution Using Z Formula M2c Calculating X from a Known ProbabilitySubmit using Memo Templates in Assignment Submissions Area by 11:59pm ET [date]Discussion AssignmentsInitial post to discussion is due by 11:59pm ET [date]. Final post by 11:59pm ET [date].Graded QuizSubmit by 11:59pm ET [date]You must score 75% or higher to advance to the next quiz; you can take the quiz an unlimited number of times.Module 3 Sampling and Confidence Intervals[dates]Readings and VideoChapters 7 and 8Multimedia Introduction and Embedded VideosScreencast TutorialsPracticeComplete non-graded activity by 11:59pm ET [date]Scenario AssignmentsM3 Sampling and Confidence Interval Mini-CaseSubmit using Memo Templates in Assignment Submissions Area by 11:59pm ET [date]Discussion AssignmentInitial post to discussion is due by 11:59pm ET [date]. Final post by 11:59pm ET [date].Graded QuizSubmit by 11:59pm ET [date]You must score 75% or higher to advance to the next quiz; you can take the quiz an unlimited number of times.Module 4 Hypothesis Testing [dates]Readings and VideoChapters 9 and 10Multimedia Introduction and Embedded VideosScreencast TutorialsPracticeComplete non-graded activity by 11:59pm ET [date]Scenario AssignmentsM4a Hypothesis TestingM4b Hypothesis Testing for Two PopulationsSubmit using Memo Templates in Assignment Submissions Area by 11:59pm ET [date]Discussion AssignmentInitial post to discussion is due by 11:59pm ET [date]. Final post by 11:59pm ET [date].Graded QuizSubmit by 11:59pm ET [date]You must score 75% or higher to advance to the next quiz; you can take the quiz an unlimited number of times.Module 5 ANOVA [dates]Readings and VideoChapter 12Multimedia Introduction and Embedded VideosScreencast TutorialsPracticeComplete non-graded activity by 11:59pm ET [date]Scenario AssignmentsM5 AnovaSubmit using Memo Templates in Assignment Submissions Area by 11:59pm ET [date]DiscussionInitial post to discussion is due by 11:59pm ET [date]. Final post by 11:59pm ET [date].Graded QuizSubmit by 11:59pm ET [date]You must score 75% or higher to advance to the next quiz; you can take the quiz an unlimited number of times.Module 6 Regression Analysis [dates]Readings and VideoChapter 14 and 15Multimedia Introduction and Embedded VideosScreencast TutorialsPracticeComplete non-graded activity by 11:59pm ET [date]Scenario AssignmentsM6 Regression Analysis Mini CaseSubmit using Memo Templates in Assignment Submissions Area by 11:59pm ET [date]Discussion AssignmentInitial post to discussion is due by 11:59pm ET [date]. Final post by 11:59pm ET [date].Graded QuizSubmit by 11:59pm ET [date]You must score 75% or higher to advance to the next quiz; you can take the quiz an unlimited number of times.Module 7Non-Parametric Techniques [dates]Scenario AssignmentsM7 Non-Parametric TechniquesSubmit using Memo Templates in Assignment Submissions Area by 11:59pm ET [date]Discussion AssignmentInitial post to discussion is due by 11:59pm ET [date]. Final post by 11:59pm ET [date].Graded QuizSubmit by 11:59pm ET [date]You must score 75% or higher to advance to the next quiz; you can take the quiz an unlimited number of times.Final Exam PreparationSet up Remote Proctor NOWComplete Practice ExamReview Final Exam topicsModule 8 Wrapping Up [dates]Reflection DiscussionPost to discussion is due by 11:59pm ET [date]. Additional posts are optional.Final ExamFinal Exam open: 9am ET [date]Submit by 11:59pm ET [date] ................
................

In order to avoid copyright disputes, this page is only a partial summary.

Google Online Preview   Download