SYLLABUS OF BUSINESS STATISTICS
Instructor: ZHANG CHAO
Office Phone:51278249
Email:hezile.keer@163.com
REQUIRED TEXT
1. ESSENTIALS OF BUSINESS STATISTICS, FIFTH EDITION, BOWERMAN, MCGRAW-HILL EDUCATION. 2015
DESCRIPTION
Examination of the properties behind the basic concepts of probability and statistics, designed to teach you ways to investigate the relationships between various characteristics of data.In Essentials of Business Statistics, we provide a modern, practical, and unique framework for teachingan introductory course in business statistics. We employ real or realistic examples, continuingcase studies, and a business improvement theme to teach the material.
OBJECTIVES
This course provides you with an in-depth understanding of the statistics tools that are frequently used in the empirical economic research.
Upon satisfactory completion of the course, students should:
Define and apply the meaning of descriptive statistics and statistical inference, describe the importance of statistics, and interpret examples of statistics in a professional context;
Distinguish between a population and a sample;
Calculate and explain the purpose of measures of location, variability, and skewness;
Apply simple principles of probability;
Compute probabilities related to both discrete and continuous random variables;
Identify and analyze sampling distributions for statistical inferences;
Identify and analyze confidence intervals for means and proportions;
Compare and analyze data sets using descriptive statistics, parameter estimation, hypothesis testing;
Explain how the central limit theorem applies in inference, and use the theorem to construct confidence intervals;
Calculate and interpret confidence intervals for one population average and one population proportion;
Differentiate between type I and type II errors;
Conduct and interpret hypothesis tests;
Identify and evaluate relationships between two variables using simple linear regression; and
Discuss concepts pertaining to linear regression, and use regression equations to make predictions.
COURSE ASSESSMENT
Class Attendance: 10%. Responsible attendance is expected of each individual enrolled in this course. Iwill circulate a sign-up sheet every day that we are scheduled to meet and you will forfeit one full percentagepoint for every unexcused absence beyond three. If you miss a lecture you are responsible for obtaining anymissed notes and/or handouts on your own unless you are officially excused.
You may be officially excused from a class meeting for one of four reasons: (1) You have an illness that prevents you from attending class and a doctor's note to that effect; (2) You have a personal emergency like a death in the family and are either excused before class or can document the emergency afterwards; (3) You have a university sponsored obligation (participation in a sporting event or student organization sponsored project)and are excused before the examination or case presentation; or, (4) You have the absence officially excused in writing by the Dean of Economics & Management.
Group/individual presentation & Class discussion: 20%. During the semester, the students need to conduct an independent research project using the econometric models taught in the course. The topic of your research can be related to any fields within economics, but the project must be empirical, which means data analysis and econometric modeling must be employed. During the 30 minutes presentation, you should clearly introduce your original research question, survey the relevant literature, describe the data and sample, lay out the appropriate model, and summarize the results and implications. Your grade will be based on the originality and rigorousness of your study as well as your presentation performance.
Assignment: 20%. The students should finish the assignments such as key concepts, questions for review, problems and application in the related chapters, and hand in them on time.
Examinations: 50%. There will be 2 examinations (please note specific days and dates listed in the calendar) including the Midterm and Final examinations during this semester. Midterm Exam will be worth 20%, while the Final will be worth 30%. The questions will come from the assigned reading material, the lecture notes, as well as classdiscussions and exercises. Test paper will be presented withdefining, multiple choice, true/false, short essay, and long essay questions.
COURSE CONTENTS
Topics | Class Hours | |
Week 1-2 | An Introduction to Business Statistics
Descriptive Statistics: Tabular and GraphicalMethods
| 6 |
Week 3-4 | Descriptive Statistics: Numerical Methods
| 6 |
Week 5-6 | Probability
| 6 |
Week 7-8 | Discrete Random Variables
| 6 |
Week 9-10 | Continuous Random Variables
| 6 |
Week 11-12 | Sampling and Sampling Distributions
Confidence Intervals
| 6 |
Week 13-14 | Confidence Intervals
| 6 |
Week 15 | Hypothesis Testing
| 3 |
Week 16-17 | Experimental Design and Analysis of Variance
| 6 |
Week 18 | General Review and Final Examination | 3 |
Total Hours | 54 |