Full Marks: 100
Compulsory Pass Marks: 35
Lecture hour: 150
Course objective:
The basic objective of this course is to acquaint the students with necessary mathematical tools and
statistical techniques to be used in business decision making processes.
Course Details:
Unit 1: Introduction to Statistics LH 5
Meaning, scope and limitation of statistics, Importance of statistics in Business and
Management, Types and sources of data, Methods of collection of primary and secondary data,
Precautions in using secondary data, Problems of data collection
Unit 2: Classification and Presentation of Data LH 5
Data classification (need, meaning, objectives and types of classification)
Construction of frequency distribution and its principles
Presentation of data:Tabular presentation
Diagrammatic presentation: Bar diagram, Pie diagram
Graphic presentation: Histogram, frequency polygon, Frequency Curve and Ogive.
(Illustrations related to Business and Management)
Unit 3: Measures of Central Tendency LH 15
Mean: Simple and Weighted (Arithmatic Mean, Geometric Mean and harmonic Mean), median,
partition values, mode, Properties of averages, choice and general limitation of an average.
Unit 4: Measures of Dispersion LH 15
Absolute and relative measures, Range, Quartile deviation, mean deviation, standard deviation,
coefficient of variation, Lorenz curve.
Unit 5: Skewness, Kurtosis and Moments LH 15
Meaning, objective and measurement of Skewness, Karl Pearson’s and Bowley’s Method
Five Number Summary, Box-Whisker Plot
Kurtosis and its measurement by Percentile method
Meaning of moments, Central and Raw moments and their relationship
Measurement of Skewness and Kurtosis by moment method.
Unit 6: Simple Correlation and Regression Analysis LH 15
Karl Pearson’s correlation coefficient including bi-variate frequency distribution, coefficient of
determination, Probable Error, Spearman’s Rank Correlation coefficient
Concept of Linear and Non-linear regression
Simple linear regression equations including bi-variate frequency distribution,
Properties of regression coefficients.
Unit 7: Analysis of Time Series LH 15
Meaning, need and components of time series.
Measurement of trend: Semi-average, moving average, method of least squares
Measurement of seasonal variation: Method of simple average and Ratio to moving average.
Unit 8: Index Numbers LH 15
Meaning and types of Index Number
General rule and problems in construction of Index Number
Methods of constructing index numbers:
Simple and weighted (Aggregative and Price Relative Method)
Laspeyre’s and Paasche’s Index Number, Fisher’s Ideal Index Number
Time and Factor Reversal Tests
Cost of living index number (Consumer’s price index number): Aggregative Expenditure Method
and Family Budget Method, Base shifting and Deflating.
Unit 9: Probability LH 10
Definition of probability, Addition and Multiplication theorem, Application of Combination in
Probability, Conditional probability and Baye’s Theorem.
Unit 10: Sampling and Estimation LH 5
Meaning of sample and population, census versus sampling, Sampling Techniques,
Concept of Sampling distribution, standard error, Estimation, estimator
Concept of types of estimates: Point and Interval.
Unit 11: Quantitative Analysis LH 15
Introduction to quantitative analysis
Application of management science:
Scientific approach to decision making, Decision making under the condition of uncertainty and
risk, Expected Profit, Expected Profit with perfect information and Expected value of perfect
information,
Linear Programming Problem:
Problem formulation with two decision variables, Graphical solution of Maximization and
Minimization problems.
Unit 12: Determinant LH 10
Definition of determinant, Methods of finding the numerical values of determinant upto three
order, Properties of determinant and its use to find the numerical values of determinants,
Cramer’s Rule to solve simultaneous equations up to three variables.
Unit 13: Matrix LH 10
Definition and types of matrix, Addition, subtraction and multiplication of matrices, Cofactors,
Transpose, Adjoint and Inverse of a matrix, Inverse and Row Operations method to solve
simultaneous equations upto three unknowns.
(Illustrations and applications in all chapters should be based on Business and Management
situation as far as possible.)
Basic Books:
Gupta, S.C., Fundamentals of Statistics for Management, Himalayan Publishing House, Bombay.
Tulsian, P.C. & Pandey, Vishal, Quantitative Techniques: Theory and Problems, Pearson Education,
India.
Reference Books:
Shrestha, Sunity and Amatya, Sunil, Business Statistics, Buddha Academic Enterprises Pvt. Ltd.,
Kathmandu
Sharma, Pushkar Kumar and Silwal, Dhruba Prasad, Business Statistics, Taleju Prakashan,
Kathmandu
No comments:
Post a Comment