1 | P a g e  

 University of Dhaka

Department of International Business EMBA Program Fall 2012 Semester

EIB 504: Business Statistics  

Course Instructor Prof. Abu Hena Reza Hasan, Department of International Business; University of Dhaka.

Phone: +8801711788638; e-mail: ahrhasan@yahoo.com

Text Book (TB) 1. Douglas A Lind, William G Marchal and Samuel A Wathen. Statistical techniques in Business and Economics

(13/e). Tata McGraw Hill Education Private Limited, 2008. 2. Richard I Levin and David S. Rubin. Statistics for Management (7/e), Prentice Hall of India Private Limited,

Seventh Edition, 2002. 3. Amir D Aczel and Jayapal Sounderpandian. Complete Business Statistics (6/e). Tata McGraw Hill, India,

2008. 4. David R. Anderson, Dennis J. Sweeney, and Thomas A. Williams. Statistics for Business and Economics.

Thomson South-Western College Publishing, 10th Revised Edition, 2009.

Objective and Scope of Course This course covers the concepts and techniques concerning exploratory data analysis, frequency distributions, central tendency and variation, probability, sampling, inference, regression, and correlation. Students will be exposed to these topics and how each applies to and can be used in the business environment. At the conclusion of this course the student should be able to:

Explain the concepts and statistical techniques used to analyze business data. Use the essential tools of applied statistics. Use statistical analysis as decision support in all areas of business; Apply quantitative analysis to the problems found in managing a business, government, or non-profit

organization, whether production or service oriented.

Course Outline Understanding data and data arrangement

Data sets & sources of data; Elements v. variables v. observations; Qualitative v. quantitative data ; Scales of measurement (nominal, ordinal, interval & ratio); Cross-sectional, time series, & descriptive statistics; Define samples v. populations; population v. parameter v. sample v. statistics; Frequency & relative frequency distributions; Cumulative frequency & cumulative relative frequency distributions; Data presentations - bar graphs, pie charts, histograms, ogive.

Descriptive Statistics

Numerical Methods: Numerical measures of location, dispersion; Sample statistics, population parameters & point estimators; Measures of central location - mean, median, mode, percentiles & quartiles; Measures of variability - range, variance, standard deviation; box plots

Probability and Probability Distribution

Basic definitions; Basic rules of probability; Conditional probabilities; Unconditional probabilities; Bays theorem; Probability distribution - Discrete and Continuous

Sampling and Sampling Distributions

Definitions of sampling; Random sampling; Experiments; Standard error; Sampling distribution; Central Limit Theory (CLT); Relationship between sample size and standard error

Estimation/ Confidence Intervals

Point estimate; Definitions of confidence interval, alpha, sampling error, confidence level, standard error, margin of error, degrees of freedom; Confidence intervals & estimates for population means & proportions; Level of significance & confidence coefficient; t-distribution; Sample size estimation.

Testing Hypothesis Basic concepts of hypothesis testing; Testing hypothesis when population standard deviation is known and unknown; Large sample tests and small sample tests; Hypothesis tests of proportions; one sample tests and two sample tests; Measuring the power of a hypothesis test; p-Values.

2 | P a g e   

Linear Regression Analysis and Correlation

Dependent v. independent variables; Scatter diagrams; Simple linear regression to model the relationship - model, equation, estimated regression & simple linear regression equation; Method of least squares; Coefficient of determination; Correlation. Use of computer to estimate regression lines; Multiple regression

Index Number Definition of index number; Unweighted and weighted index numbers; Different types of index; Consumer price index

Time Series and Forecasting

Time series; Variations in time series; Trend analysis; Cyclical analysis; Seasonal analysis; Irregular variations;

Course Evaluation

Event Full

Marks Description

Mid Term 1 15 Understanding data and data arrangement, Descriptive Statistics, Probability; Probability Distribution - Discrete

Mid Term 2 15 Probability Distribution - Continuous; Sampling and Sampling Distributions; Term Final 40 Confidence interval, Hypothesis; Regression Analysis and Correlation, Index

Number, Time series Presentation 10 Group presentation. Students have to work on a project in groups and present

their works in class. Group size will be between 4 and 6. The group must submit a hard copy of the presentation before oral presentation. Participation in the group presentation is compulsory.

Term Paper 10 It is individual work. Students shall get topics for writing short essays. Each student has to submit hard copy of term paper within the specific deadline. If it is found that students submit copy of term papers from another student, all those who submits duplicates or similar writings shall get “0” marks in the full course. In this situation he/she will be considered has failed in the course and must retake the course in the next semester.

Class Attendance

10 Class attendance is compulsory. Marks depends on the number of classes are attended by the student. In case a student attends less than 50% of the classes, he/she will get no marks for class attendance.

Specific Rules for this Course

1. There will be no retake/makeup examination for any student who misses any of the mid term examinations. No second chance for presentation and term paper.

2. All students must have a scientific calculator for this course. It is expected that each one will bring

the calculator in the class and participate in class works. 3. Mobile phones must be switched off during all examinations. A student will be expelled from

examination hall if found is using mobile phone. Mobile phones shall not be allowed for use as alternative to calculator or watch.

4. During the class time students are not permitted to use mobile phones in the class room. Keep the cell

phone in silent mode during class period. You should not talk on a mobile phone at any time during class. If anyone needs to use mobile phone during class, he/she must go out of the class room to use it.

5. Students must remember that handouts shall be provided in the class are not full reading material of

the course. Studying the text book is must to pass the examination.