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Material Type: ClassMaterial; Professor: Shi; Class: Business Statistics; Subject: Business; University: Diablo Valley College; Term: Fall 2016;
Typology: Lecture notes
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(In Person: Tue Thu 1:15- 2 :15pm, BFL 226; Online: Mon Wed 9:30-11am; Other times or office meetings are possible-Please email me on D2L for an appointment)
COURSE DESCRIPTION Business Statistics is an introduction to concepts, methods and models employed in reasoning with numbers and in presenting cogent statistical arguments or solutions. The course introduces students to the organization, analysis and inference-making processes, using sample data to graphically and numerically describe samples. The course details how to estimate confidence intervals, test hypotheses and develop projections for inferential purposes in a variety of contexts and disciplines such as business, social science, biology, economics, and health science. Many different probability distributions are covered: poisson, binomial, normal, student-t, chi-sq, F-distribution and others. Estimating simple and multiple regressions and making inference from such analysis is another major theme of this course. Using spreadsheet-based software (such as MS Excel) to compute statistics in large-data applications. In addition, the course will provide students with both theoretical knowledge and practical experience of statistics, with examples and applications focusing more on business and economics related subjects. The course will emphasize the organization, analysis and interpretation of statistical data and demonstrate the important role statistics play in everyday decision-making in the modern business world. In lieu of a final exam, students will have the opportunity to engage in a course-long statistical survey project to learn about the basics of applying statistics in the business environment, including data collection, data analysis, and results interpretation and presentation. STUDENT LEARNING OUTCOMES (SLOs) Students will be able to:
Basic Statistics for Business and Economics, Lind, McGraw-Hill. Customized Black and White Paperback for DVC—available at the DVC book center. (Less expensive). ISBN: 1 - 121 - 39256 - 3. OR: 7th Edition of the original book (More expensive). You may get it online from Amazon.com, etc. You will also need to have access to Microsoft Excel, the spreadsheet software.
GRADING
In lieu of a final exam, students will learn to apply statistics in business decision making by participating in a course-long survey project, designing an actual business-related survey, administer it, conduct statistical analysis, interpret the results and make recommendations for business decision making. This course requires a total of 15 online lab hours that are related to the statistical survey project, or an average of 1 hour per week for the 15 - week duration of the course. Each week, you are required to work on different components of the survey project, including conducting research for each of the four survey project milestones. Your weekly online lab-hour effort will be evaluated and/or graded and in the form of online weekly lab posts (LPs) as well as survey project milestones. Please refer to the next bullet “Class/Lab Participation” for more details on “lab posts”. More on Project Milestones : Throughout the course, students will have four milestones to achieve that are different components of the Survey Project. The milestone documents are graded as the course progresses to ensure on-time completion—You won’t be able to wait till final’s week to start your project! Please note you will need to stick to the same topic for all four project milestones. Survey project papers, including milestone documents, should be appropriate pages in length (to be announced on D2L), word processed in Word or Excel using 12 point type, double spaced. Papers are expected to be proofread and checked for grammar and spelling. Please note that handwritten papers will also NOT be accepted. Again, milestones are due on the dates listed in Part V. Please follow the appropriate file naming and uploading procedures otherwise points will be deducted. Please read the following important notice on the submission of project assignments immediately and carefully. Failure to follow such instructions properly may result in your getting a zero on the assignment! IMPORTANT NOTICE ON LATE ASSIGNMENT SUBMISSION: Late assignment submission will NOT be allowed in this course. After you successfully submit a project milestone assignment, please print out a “Confirmation of Submission” page or take a screenshot as a confirmation that you submitted the assignment successfully on time and keep it in a safe place in case you need to show it to me as proof of successful submission of your assignment. It is the student’s responsibility to ensure that all project milestone assignments are submitted on-time (by 11pm on Sundays) and successfully on D2L. Failure to do so will result in your getting ZERO credit for an assignment. Please do NOT wait till within 10- 15 minutes of the submission deadline to upload your file. Any assignments submitted via email or in the wrong assignment dropbox AFTER the submission deadline (11pm on due dates) will NOT be accepted—NO EXCEPTIONS! Please do not ask me to accept any late files via email after the submission deadline. Instead, do the extra credit work to make up for lost points. There are a total of 115 points available—see below (section on Extra Credit) for details. Please note that I DO provide partial credit for incomplete assignments. Therefore it is always a better idea to upload a partially completed assignment before the submission deadline to receive partial credit, rather than missing the deadline and not getting any credit at all. Please also ensure you submit the correct file or correct version of the file via the assignment dropbox. In the event that you submitted a wrong file, you may submit a correct version of the file as long as it is before the submission deadline and I will grade the latest file that was uploaded successfully before the submission deadline. I will NOT accept any replacement files via email or other methods after the submission deadline—NO EXCEPTIONS! To help gain valuable teamwork experiences, students are encouraged to pair-up with a partner/classmate on the course-long survey project, although individual work will be accepted if the student chooses to do it alone. Students should weigh the pros and cons of teamwork carefully in determining whether to pair up. If you end up doing the project with a teammate, you may turn in the same assignments but you need to each upload the assignment files via your own D2L account in order
to get credit and feedback. This rule applies to lab posts as well—each team member needs to submit his/her own lab posts even if the team members’ posts are identical. EXTRA CREDIT: Students have the options of collecting extra surveys as part of survey project Milestone #3, and/or conducting additional data analysis as part of Milestone #4, and/or putting together a Powerpoint presentation of their Survey Project towards the end of the course—see Part III Grading for detailed breakdown of points.
2. Class/Lab Participation This course will be taught 100% online and no face-to-face meetings are required. As part of your participation grade, you are required to submit a minimum of 10 survey project-related discussion posts (or lab posts) for the whole course, or an average of one post per week. Each lab post will be in the form of a response to a survey project related topic initiated by the instructor. You may be dropped from the class if you have not submitted at least one lab post by the end of the second week of the course. You will definitely be dropped from the course if you have NOT done any coursework required by the end of the second week of class. Please note that there is no limit as to how many posts you are allowed to make under each discussion topic, however, I will only give credit to a maximum of one post for each topic. There are a total of 15 lab post topics for the course, including survey project related topics. I recommend that you make at least one post under each topic, starting from week one and continue throughout the whole course. Most discussion topics have deadlines (usually by 11pm on dates due) and late posts will not receive credit. To get a good discussion grade, please post regularly throughout the whole course. DO NOT wait till the end of the semester to start posting because in that case you will almost certainly get a failing grade in class participation. Please note that the "Discussion" or participation part of your grade is about 20% of the whole course grade and is extremely important if you want to get a decent grade in this course. 3. Homework (Practice Quizzes) Homework will be in the form of self-administered Practice Quizzes at the end of each chapter. For each quiz, you will be given 30 minutes to complete 10 questions which are true-false or multiple- choice types. You are given one question at a time during each quiz. You are allowed up to two different attempts so you can improve your score on the quiz. Your final grade on that particular Practice Quiz will be the average of the two attempts. Practice Quizzes are due on the dates and time listed in Part V (typically at 11pm on dates due). You may want to purchase a scientific/statistical calculator to make your life easier—you shouldn’t spend more than $20. I recommend the TI-30X IIS from the campus bookstore or a retailer close to you. 4. End-of-Chapter Graded Quizzes There will be self-administered Graded Quizzes at the end of each chapter. For each quiz, you will be given 30 minutes to complete 10 questions which are true-false or multiple-choice types. You are given one question at a time during each quiz. You are only allowed one try with the Graded Quiz so please do NOT take the quiz until you are absolutely ready and prepared. You should take the practice quiz before you take the actual quiz since they are similar in content and difficulty level. Graded Quizzes are also due on the dates and time listed in Part V (typically at 11pm on dates due).
Week Dates Chapters Assignments (due by 11pm on the due date; SP: Survey Project; LP: Lab Post) 13 11/28- 12 / 4 SP: Finalize data set based on instructor feedback and start data analysis. SP: Continue and finish Milestone #4 data analysis. Due by 11pm on 12/4: SP Milestone #4: Data analysis results; LP12, LP 13 14 12/5- 12 / 11 10 – One-Sample Tests of Hypothesis Due by 11pm on 12/11: Ch 10 Practice and Graded Quizzes; LP 14 15 12 /12- 12 /1 6 SP: (For Extra-Credit Only) Putting together Final Survey Project presentation. No New Materials (Cheers!)—Course Survey For Extra Credit Only: Due by 11pm on 12/14— Final Project Presentation (LP 15)
Here are a few tips that will help you survive the course, especially if this is the first time you are taking an online class:
