Course Perspective
This course covers concepts and tools that aid managerial decision making by applying scientific approach and computer software to managerial problems that involve quantitative factors. Modeling of such operational situations is emphasized through cases and spreadsheet exercises..
GOALS FOR THE COURSE
SKILLSPECIFIC GOALS
CONTENTSPECIFIC GOALS
Prerequisite(s): Basic Knowledge of Mathematics and Statistics
Recommended Text Books:
S.No.  Title  Author(s)  Assigned Code 
1  Statistics for Management

Richard I.Levin, David S. Rubin  Book 1 
2  Introduction to Statistical theory PartI & II  Prof.M.Sher & Dr. S.Kamal  Book 2 
3  Quantitative Analysis for Management 6^{th} Edition
prenticeHall International,Inc. 
Render, B. & R.M. Stair  Book 3 
4  Modern Mathematics with application to business and the Social Sciences. (4^{th} Edition, National Book Foundation,PAK  Wheeler, E.R. & Peeples W.D.  Book4 
Tentative Teaching Schedule
Course Schedule  
Week  Module  Intended Learning Outcomes  
At the end of this week, the students will be able to explain:  
1  Quantitative Analysis for Management
(Chap#1) Book3

· Introduction to quantitative Techniques
· Role of quantitative techniques in business decisions and different fields of life. 

2  Measures of Central Tendency and Dispersion in Frequency Distributions
(Chap #3) Book1 
· Introduction to Measure of Central Tendency.
· Calculation of Arithmetic Mean, Geometric Mean and Harmonic mean and discuss their properties. · Calculation of Median and Mode and discuss their properties · Calculation of Quintiles and their interpretations. (ASSIGNMENT+QUIZES) 

3  Measures of Central Tendency and Dispersion in Frequency Distributions
(Chap #3) Book1 
· Introduction to Measures of Dispersion.
· Mean Deviation and its coefficients · Variance, Standard deviation and their properties. · Chebyshev inequality and its application. · Coefficient of Variation, Moments, Skewness and Kurtosis. (ASSIGNMETN+QUIZES) 

4  ProbabilityI: Introductory Ideas
(Chap # 4) Book1 
· Introduction to Probability and Basic terminologies.
· Axioms of Probability, Rules of counting. Addition and Multiplication Laws of probability and their application in different field of life, especially in business phenomena. 

5  Probability Distributions
(Chap # 5) Book1 
· Conditional Probability, discrete and continuous random variables
· Mathematical expectation and its properties. · Marginal and Conditional distributions. (ASSIGNMENT+QUIZES) 

6  Probability Distributions
(Chap # 5) Book1 
· Introduction to Discrete Probability distributions.
· Binomial distributions and its applications in different field of life, especially in business phenomena. · Fitting of the Binomial distribution. (ASSIGNMENT+QUIZES)


7  Probability Distributions
(Chap # 5) Book1 
· Introduction to Poison distribution
· Poison distribution and its application in different field of life, especially in business phenomena. · Fitting of the Poison distribution.
(ASSIGNMETN+QUIZES) 

8  Probability Distributions
(Chap # 5) Book1 
· Introduction to Continuous Probability distribution, Normal distribution
· Normal distribution and its application in different field of life, especially in business phenomena. · Fitting of the normal distribution.
(ASSIGNMETN+QUIZES) 

Midsemester Examination


9  Testing of Hypotheses: One Sample Tests
(Chap # 8) Book1 
· Introduction and Basic Concepts of Statistical Inference.
· Null and Alternative hypothesis, Significance level, Test Statistics, Acceptance and Rejection Regions, Pvalue, Directional and Non directional test.


10  Testing of Hypotheses: One Sample Tests and Two Sample Tests
(Chap # 8 & 9) Book1 
· Testing of Hypothesis and interval estimation concerning population mean.(Z & ttest)
· Testing of hypothesis and C.I about difference between two means. (Z & ttest) · Testing of Hypothesis and C.I for population proportion.
(ASSIGNMENT+QUIZES) 

11  Simple Regression and Correlation
(Chap # 12) Book1 
· Functional relationship among Variables, Exact and Statistical relations among variables, Scatter Diagram.
· Estimation and Interpretation in simple linear regression. · Properties of SLR line, Prediction in SLR, Coefficient of Determination. · Testing of Hypotheses about regression coefficients
(ASSINGNMENT+QUIZES) 

12  Simple Regression and Correlation
(Chap # 12) Book1 
· Introduction to Correlation.
· Calculation and interpretation of Simple Linear Correlation. · Testing of Hypothesis concerning Population correlation coefficient · (ASSIGNMENT+QUIZES) 

13  Multiple Regression and Modeling
(Chap # 13) Book1 
· Multiple Linear regression, Estimation and interpretation in MLR. Prediction in MLR, Coefficient of Determination in MLR.
· Introduction to Polynomial Regression.
(ASSIGNMENT+QUIZES)


14  Quantitative Analysis for Management
By Barry & Render. (Book3) 
Linear Programming (LP)
· Construction of Linear Programming · Graphical solution for Linear programming 

15  Quantitative Analysis for Management
By Barry & Render. (Book3) 
Problems with Linear Programming
· No feasible solution · Unbounded solution · Alternative Optimum · Redundant constraint Simplex Method (ASSIGNMENT+QUIZES) 

16  Modern Mathematics
By Wheeler & Peeples. (Book4) 
(ASSIGNMENT+QUIZES) 

Endsemester examination 
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