BUS120 Principles of Business Statistics Fall 2015 …

1 BUS120 Principles of Business StatisticsFall 2015 Course SyllabusDepartment of Business AdministrationKutztown UniversityBUS120: Principles of Business StatisticsFall 2015 Course InformationInstructor:M Halim DalginOffice:DF 683-4970 Office Hours: TTh: 1:30-3:00pW: 10:00a-1:00pCourse Description and ObjectivesThis course is an introduction to the Principles and practice of Business Statistics emphasizing therole of data in decision making. Among the topics that the course will cover are data collectiontechniques and their limitations, visual and numerical summaries of data, sampling distributions,confidence interval estimation, hypothesis testing, goodness of fitness tests, and linear successful completion of this course, the student should be able to:1. Demonstrate knowledge of classical statistical Demonstrate his/her statistical problem solving ability and computational Apply statistical procedures to assist in solving practical everyday problems of Business Manipulate a computer statistical package to aid in the solution of Business Generalize the benefits and shortcomings of statistical Discuss and think critically about data based Materials Textbook: Statistical Techniques inBusiness & , Marchal, and Wathen,16e.

2 Publisher: McGraw-Hill. Access to Connect Business Statistics Calculator1 BUS120 Principles of Business StatisticsFall 2015 Grade BreakdownProblem Sets10%Term projects (2 5%)10%Exam I20%Exam II20% final Exam30%Class Participation & in class work 10%Cumulative numerical averages 90are guaranteed at least anA , grades 80are guaranteedat least aB , grades 70are guaranteed at least aC , and grades 60are guaranteed at leastaD. The exact ranges for letter grades will be determined after the final (10%) In this course we will use Connect Business Statistics , an on-line assignmentmanager that comes with the textbook or you can buy it separately that will provide accessto an e-book copy of the text. There will be regular on-line homework assignments approx-imately every week covering the sections we go over in class.

3 Each homework assignmentwill have a hard deadline that cannot be extended. However, in order to account for variousexigencies that might come up, I will drop the two lowest assignment grades. I truly cannotoveremphasize the importance of the homework problems to prepare you for the exams andthe projects that you will be (2 5%) Project 1: Project 1 has two parts: descriptive Statistics and inferential motivate and help you get started you need to come talk to me about your data and turn ina preliminary version of your project before the first exam. To do the project for a parameterof interest you will find and describe the relevant data, describe it numerically and visually this is the first part and compute a confidence interval, conduct a hypothesis test, andsummarize your findings in a report up to five pages in 2: Project 2 will be a regression project on a dataset of interest to you, involvinga simple linear regression and you will present this project during the last week of can be done by a group of at most two exams (2 20%) There will be two midterm exams , which will be closed notes andtextbook.

4 However, you can bring a handwritten, no photocopies or computer print outsallowed, double-sided regular size, 11, cheat sheet, prepared only by you, and a Exam(30%) The final exam will be held during the final exam week, that is mandatory andmust be taken at the given time and date. It will be cumulative covering exam II materialand after. It will be closed notes except a handwritten double-sided regular size, 11,cheat sheet, prepared only by you, and a Participation and In Class Work(10%) During regular class time I will pass out work-sheets about the relevant class material of the day. I expect you to finish them in class andI will check your work and give you a participation grade for each worksheet. There will beno make ups for these of Business StatisticsFall 2015 Course MaterialsClass materials (handouts, class slides, etc.)

5 Will be made available the day before the are responsible to print their own copy of the class materials and bring them to lectures will be incomplete because I want students to be actively thinking about them andtaking notes during the Policies In order to derive the maximum benefit from classroom time, you are encouraged and expectedto read the relevant text material and/or lecture notes from the class website before each doing so, you will be better prepared to participate in class and to ask questions bothintegral parts of the learning process. Lecture notes before each class will be posted on theclass website Essential to successful and responsible learning,attendanceand class participation arestrongly encouraged. Because class and the text are complements, not substitutes, it ishighly unlikely that anyone who is frequently absent from class will do well in the course.

6 Arecord of attendance will be kept, and may be used to determine borderline grades. Finally, use ofcell phonesor any other electronic media, including computers areNOTallowed in class even as calculators. Make-upexams willnotbe given, except in the case of: (1) illness, (2) participation in theuniversity activity at the request of university authority. Students must contact me prior tothe exam if such occasion is to arise, and in addition, provide a documentary support froman appropriate authority for their absence that resulted from one of these with DisabilitiesIf you qualify for registering with Human Diversity because of a disability or some other issue,please do so immediately. Then get your letters, signed by Patricia Richter, to me see me during office hours to discuss in Honesty PolicyTo be fair to all students who put an honest effort, cheaters will not be tolerated and univer-sity rules and regulations, The Key , will be strictly applied.

7 Note the Key is available )3 BUS120 Principles of Business StatisticsFall 2015 Tentative Course ScheduleWeekTopics#1 Introduction and Graphic PresentationChapters 1 & 2#2 Numerical MeasuresChapter 3#3 Exploring DataChapter 4#4 The Family of Normal DistributionsChapter 7#5 Review and Exam I(Exam I: September 24)Chapters 1, 2, 3, 4, 7#6 Sampling Methods and the Central Limit TheoremChapter 8#7 Estimation and Confidence IntervalsChapter 9#8 One-Sample Tests of HypothesisChapter 10#9 Two-Sample Tests of HypothesisChapter 11#10 Review for Project #1 Descriptive and Inferential Statistics #11 Project #1 presentations and Exam II (Project #1 is due)(Exam II: November 5)Chapters 8, 9, 10, 11#12 Correlation and Linear Regression, Part IChapter 13#13 Correlation and Linear Regression, Part IIChapter 13#14 Inference for Linear RegressionChapter 13#15 Project #2 Presentations and ReviewChapters 10, 11, 12, 13#16 final ExamSection 30: December 8 @ 8 amSection 40: December 8 @ 11amSection 310: December 8 @ 6 pm4