SemesterSpring Semester, 2020
DepartmentIMBA Program, First Year IMBA Program, Second Year
Course NameBusiness Quantitative Methods
InstructorTANG KWEI
Credit3.0
Course TypeRequired
Prerequisite
Course Objective
Course Description
Course Schedule



























































































































Week



Date



Topic



Reading



Note



1



2/20



Course Introduction



Data: Type, Source, Applications, analysis



1. Traditional Data




  • Elements, variables, and observations

  • Data type

  • Cross sectional and time series data

  • Data sources



2. Descriptive Statistics: Single variable




  • Frequency distributions

  • Bar-graphs, pie-charts, histogram, etc.

  • Measures of central tendency

  • Measure of dispersion



Chapters 1-3



Lab session



2



2/27



3. Descriptive Statistics: Two variables




  • Scatter plot

  • Covariance and correlation

  • Crosstabulation and scatter plots



 



Probability Distributions




  • Normal distribution

  • Standard normal distribution

  • t-distribution

  • c2 distribution

  • F distribution



Chapters 1-3



 



 



 



 



Chapter 6: sections 6.2



 



3



3/5



Statistical Inference: Hypothesis Testing




  • Basic concepts and procedure

  • Types I and II errors

  • Sampling distribution

  • Single population/process hypothesis testing

  • p-value



Chapter 8: sections 8.2, 8.3, 8.4



Chapter 9:



sections 9.4, 9.5



 



4



3/12



Statistical Inference: Estimation




  • Sampling methods

  • Point and interval estimation

  • Sample size selection



Chapter 7: sections 7.2, 7.3, 7.4, 7.5, 7.6, 7.8



 



5



3/19



Comparisons of Multiple Populations: Two Populations




  • Paired samples

  • Independent samples



Chapter 10:



Sections 10.2, 10.3, 10.4



 



6



3/26



Comparisons of Multiple Populations: ANOVA




  • Partition of the sum of squares

  • One-way analysis of variance

  • Multiple comparisons



Chapter 13: sections 13.1, 13.2, 13.3, 13.5



 



 



4/2



Holiday



 



 



7



4/9



Predictive modeling: Regression




  • Basic concept

  • Least-squares estimation

  • R2

  • Hypothesis testing

  • Residual analysis

  • Partition of the sum of squares

  • Partial F-test and t-test

  • Indicator (Dummy) variables

  • Build a regression model



Chapters 14, 15, 16



 



8



4/16



Regression Analysis (continued)



 



Predictive modeling: Classification




  • Logistic regression

  • Classification tree



 



 



Chapter 13: sections 13.1, 13.2, Handouts



 



9



4/23



Classification (continued)



Handouts



 



10



4/30



Mid-term Exam



 



 



11



5/7



Process and bottleneck analysis




  • Overview of a process

  • Throughput and bottleneck

  • Resource capacity and Process capacity

  • Inventory and waiting time

  • Face game



Reference:



Chapters 3-4



 



12



5/14



Process and bottleneck analysis




  • Capacity planning

  • Analysis of Kristen Cookie

  • Little’s Law

  • M/M/1 queue

  • M/M/N queue



Reference:



Chapters 5



 



Case assignment: Kristen Cookie



 



13



5/21



Linear Programming




  • Problem formation

  • Excel solver

  • Sensitivity analysis

  • Scheduling

  • Portfolio analysis



 



 



14



5/28



Statistical process control




  • Introduction to quality

  • Control chart concepts

  • chart

  • R chart

  • p and np chart

  • Lean operations



Chapter 19: 19.1, 19.2



 



15



6/4



Epilogue and Final Exam



 



 



Teaching Methods
Teaching Assistant

TBA


Requirement/Grading

• Homework assignments 35 %



• Team and class participation 10 %



• Mid-term examination 35 %



• Final examination 20 %


Textbook & Reference

  1. Textbook: Statistics for Business and Economics, 14th edition by D. R. Anderson, D. J. Sweeney, and T. A. Williams, J. D. Camm, J. J. Cochran, and M.J. Fry, and J.W. Ohlmann, South-Western Publishing, 2019, ISBN: 9781305585317, International Edition locally distributed by Tsang Hai Publishing滄海書局.

  2. References: Anupindi, R., S. Chopra, S. D. Deshmukh, J. A. Van Mieghem, and E. Zemel, Managing Business Process Flow, (3rd Edition, Pearson New International Edition)

  3. Kristen's Cookie Co. (A),” Harvard Business Case 608037-PDF-ENG.

  4. Class handouts – to be distributed in class.

  5. IBM SPSS (http://www.ibm.com/analytics/us/en/technology/spss/), a commercial statistics package, and Excel add-ons Solver will be used extensively.


Urls about Course
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