# Social Problems Facing University Students

Topics: Operations research, Statistics, Average Pages: 6 (1215 words) Published: October 23, 2010
KENYA METHODIST UNIVERSITY
FACULTY: BUSINESS AND MANAGEMENT STUDIES
DEPARTMENT: BUSINESS ADMINISTRATION
COURSE CODE: DPBA 018
COURSE TITLE: INTRODUCTION TO STATISTICS
COURSE OUTLINE
Purpose
To equip students with statistical skills (Techniques) that will enable them solve problems arising from day to day business operations and also make sound managerial decisions. Objectives
By the end of the course the student should be able to:
1. Perform basic statistical calculations
2. Identify business problems that are amenable to statistical techniques and suggest the appropriate models that can be used to solve the problems. 3. Apply statistical concepts to solve problems in life.

COURSE CONTENT
1. Introduction: meaning and scope;Definitions,Importance and scope of statistics, Limitations of statistics, Methods of data collection 2. Classification and tabulation of data; Organization of data, Data classification: frequency distribution and cumulative frequency distribution. 3. Methods of data presentation

a. Diagrammatic presentation; Line and bar graphs, Simple and multiple pie charts, Pictograms b. Graphical presentation; Histogram, Frequency polygon, Frequency curves,’ cumulative frequency curves[ogive]. 4. Averages (measures of central tendency);Arithmetic mean,Median,Mode 5. Dispersion – measures of variablility;Range,Quartile deviation or interquartile range, Mean deviation, Standard deviation,Variance,Coefficient of variation 6. Skewness, moments and kurtosis

7. Correlation and regression
a. Correlation ;Karl Pearson’s coefficient of correlation, Rank correlation, Coefficient of determination b. Linear regression; Scatter diagram, Regression equation 8. Index numbers
9. Times series – moving averages
Evaluation CAT 30%
Exam 70%
References
1. GUPTA S.C, Fundamentals of statistics, 6th edition, 2007, Himalaya publishers. 2. Murray and Spiegel, Schaums outline series of statistics 3. André Francis, Business statistics and mathematics

KENYA METHODIST UNIVERSITY
FACULTY OF ARTS AND SCIECCES
DEPARTMENT OF BUSINESS ADMINISTRATION
COURSE CODE: BUSS 320
COURSE TITLE: QUANTITATIVE METHODS
CREDIT HOURS: 3 CREDITS
CONTACT HOURS: 45 HOURS
1. Course purpose
To equip students with quantitative techniques that will enable them to make sound and competent managerial decisions. 2. Course objectives
By the end of this course the student should be able to:
i) Perform basic mathematical and statistical calculations using basic mathematical concepts ii) Identify business problems that are amenable to Quantitative techniques and suggest the appropriate models that can be used to solve the particular problem. iii) Apply mathematical and statistical calculations to solve problems in real life situations. COURSE CONTENT

1. Matrices and element of calculus
2. Input-Output (1/0) analysis;Introduction,Importance of I/O models, Types of I/O models, Applications of I/O models 3. Linear programming (LP);Introduction ,Characteristics, assumptions and limitations, Formulation of LP problem, Solutions of LP by graphical, algebraic and simplex methods, Advantages of LP,Applications of LP 4. Simulation;Introduction,Importance of simulation, Monte Carlo method of simulation, Random number generation. Examples of simulation; Waiting line simulation, Inventory simulation, New product planning simulation, Capital budgeting through simulation. Advantages of simulation, Limitations of simulation 5.Transport and assignment problems;Introduction,The general structure of a problem, Obtaining an initial solution, North West corner rule, Deriving the optimal solution, Variations in transportation problem, Post optimality analysis, The assignment problem, Variations in the assignment problem, Application 5. Network Analysis (PERT/ CPM); Background and development., Distinction between PERT and CPM.,Basic terms used in network analysis, Dummy and parallels...

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