
Business
Phone: 909-594-5611, Ext. 3031
Email: fwchan@mtsac.edu
Homepage: https://faculty.mtsac.edu/fchan
Syllabus
Mt. San Antonio College
APPLIED BUSINESS STATISTICS
Prerequisite: MATH 71
INSTRUCTOR: Franny Chan
E-mail address: fwchan@mtsac.edu
Voice Mail: 909-594-5611, Ext. 3031 or 714-992-7000 ext. 28729
Office Hours: Tue & Thur 11-11:30am by e-mail
Office Hours: Mon & Wed 7:30-8am by e-mail
COURSE DESCRIPTION: Statistical reasoning and application of primary statistical techniques used in solving managerial problems. Topics include: collection and interpretation of data, measures of central tendency and dispersion, probability distributions, sampling and estimation, hypothesis testing, analysis of variance, linear regression and correlation and index numbers.
COURSE OBJECTIVES:
- Select appropriate statistical methods that pertain to business and economic problems.
2. Apply principles of inferential statistics in areas of estimation, sampling and hypothesis testing in production, sales, revenue and profits.
3. Design and develop a statistical survey for a business with specific economic problems, using proper central tendency and dispersion measures.
4. Analyze business problems through the collection of statistically relevant primary and secondary data.
5. Arrange the data and draw bar chart, pie chart, histograms and polygon.
6. Analyze probability distributions and use a variety of statistical/ probability tables.
7. Evaluate regression and correlation coefficients.
8. Determine conclusions for decision making based on an analysis of the statistical treatment of economic data.
STUDENT LEARNING OUTCOMES: View at http://slo.mtsac.edu
COURSE WEBSITE: http://instruction.mtsac.edu/fchan click on BUSC17 link for additional information.
REQUIRED TEXTBOOK: Lind, Marchal, and Wathen, Statistical Techniques in Business & Economics, McGraw Hill.
REQUIRED MATERIALS:
- Text book
- Notebook, 2 Pencil or Pen
- Calculator
- Computer Access: Students are required to have access to a computer with an internet connection and MS Excel.
- SAC Email Address: Use only your official Mt.SAC email address when communicating with your professor. Contact the Help Desk immediately at (909) 274- 4357 if you are experiencing any technical problems with your email
COURSE OUTLINE:
Introduction to statistics and descriptive statistics CH 1, 2, 3, 4 EXAM I
Probability, discrete and continuous random variables CH 5, 6, 7,
Sampling methods, CH 8 EXAM II
Confidence interval CH 9
Tests of hypotheses, analysis of variance, linear Regression CH 10, 12, 13
Index Numbers CH 15 EXAM III
FINAL IS SELECTIVELY COMPREHENSIVE.
Weekly Schedule:
Week # |
Class requirements |
WK 1 |
Ch 1 Definition of statistics |
WK 2 |
Ch 2 Descriptive statistics |
WK 3 |
Ch 3 Numerical measures. |
WK 4 |
Ch 4 Displaying and exploring data. Review and Exam 1 HW DUE |
WK 5 |
Ch 5 Probability |
WK 6 |
Ch 6 Discrete probability distribution. |
WK 7 |
Ch 7 Continuous probability distribution |
WK 8 |
Ch 8 Sampling methods |
WK 9 |
Review and Exam 2 HW DUE |
WK 10 |
Ch 9 Confidence interval |
WK 11 |
Ch 10 Hypothesis testing |
WK 12 |
Ch 12 Analysis of Variance |
WK 13 |
Ch 13 Linear Regression |
WK 14 |
Ch 15 Index Numbers , Review and Exam 3 HW DUE |
WK 15 |
Final Exam |
Course schedule may be changed at the discretion of the instructor.
GRADING:
Your grade is based upon the following assignments and tests:
Homework 30 (10 each)
Classroom Assignments 70 (10 each)
3 Exams 300 (100 each)
Final Exam 200
A=90% B=80% C= 60% D= 50%
If you wish to withdraw from this class, be sure to drop officially in the record office. Failure to do so will result in F. Extra credit opportunities will be given during the course.
Exams: Three exams will have two sections: Take-home and Classroom sections.
The Take-home sections of the exam require using MS Excel. Questions will be given to you before the exams and will be due on the exam dates.
The classroom sections of your exams and Final exam will be made up by two parts: true/false and problems. You can bring the formulae sheet and tables to the exams. No makeup examinations will be given. If you miss an exam, your final will be doubled. FINAL IS SELECTIVELY COMPREHENSIVE.
Classroom assignments: These assignments have to be finished in the classroom. They are open-book exercises and will be given at the end of class sections. No makeup assignments will be given, and no late classroom assignments will be accepted. If you missed an assignment, you have to do the extra ones to make up. You will be given more than 7 assignments. If you did more than 7 assignments, the extra assignments will be counted as extra credit towards your grade. You should bring a calculator to class to help you with class assignments.
Homework: Homework will be assigned in class. Homework is due on the exam dates. Please arrange your time accordingly.
Homework for Chapter 1, 2, 3, 4 will be due on the date of Exam I.
Homework for Chapter 5, 6, 7, 8, will be due on the date of Exam II.
Homework for Chapter 9, 10, 12, 13, 15 will be due on the date of Exam III.
Late homework assignments will be given half credit.
No homework will be accepted after the final exam date.
Course Rules, Policies, and Student Expectations
- All quantitative answers in class work and exams should have at least 2 decimal digits, 4 are recommended.
- Inactive or unprepared students may be dropped from class due to poor performance as determined by the professor. You are expected to participate in all course activities including lectures, class and group work. Not participating in 80% of class activities may result in a failing grade for the class or being dropped for failing to meet the academic standards for this class.You are expected to check your Mt. SAC email daily. When communicating with your professor use only your Mt.SAC email address and be sure to correctly identify yourself in each email and list class that you are enrolled. Grade questions will not be answered by e-mail, please communicate with me in person.
- You are expected to comply with your professor’s instructions; failure to do so may result in your dismissal and/or failing the course.
- Be polite, display common courtesy, and respect towards your classmates and professor. Please refrain from talking during lectures. Disruptive students may be asked to leave the class, marked as absent, and reported to the Student Life office.
- Use of profanity, disrespecting classmates, or the professor will not be tolerated. You will be dismissed from class and may be dropped from the class and receive an “F”.
- Turn OFF cell phones and all electronic devices before entering the class. If any of your electronic devices ring you may be penalized or dismissed from class.
- Students registered with DSPS and require special accommodation need to contact the professor. If special arrangements are require for an exam, please notify your professor at least 1 week in advance.
- Attendance is mandatory in this class and roll will be taken at the beginning of each class. Absent students are responsible for the material covered in class.
- Tardy student will NOT be given extra-time for exams. Student arriving beyond 10 minutes (as determined by the professor) will not be permitted to enter the class AND will forfeit their right to take the exam. No-Make ups will be provided.
The general rules of the College, the requirements of the Business Division and the Department of Business Administration are all assumed and specially applied to the cases of cheating, plagiarism and assignment of an incomplete grade. DSP&S rules will be followed in this course.
Exams will be administered at the beginning of class. Tardy student will NOT be given extra-time. Student arriving beyond 10 minutes (as determined by the professor) will not be permitted to enter the class AND will forfeit their right to take the exam. No-Make ups will be provided.
The general rules of the College, the requirements of the Business Division and the Department of Business Administration are all assumed and specially applied to the cases of cheating, plagiarism and assignment of an incomplete grade. DSP&S rules will be followed in this course.
Last Updated: 6/3/19 |