Quantitative Applications in Management

NTITATIVE MGNT valued APPLICATIONS IN MANAGEMENT Course Code MIB 105Credit Units 03 Course Objective The design of this course is to develop the understanding of the various statistical models, used for stopping points make in the functions of the management of any organization with respect to International Business. To agree the students with tools and techniques for application of concepts to real life problems for efficient managerial decision making. study OutcomesAt the end of the course students will be able to utilisation statistical techniques to collect and analyse data Produce forecasts using statistical packages Apply quantitative techniques to business situations. Course Contents Module I Introduction denary last Making an overview, Collection , Classification & show of Data, Measures of Central Tendency Mean, Median, Mode, Geometric Mean & Harmonic Mean, Measures of Dispersion Range, Quartile Deviation, fair Deviation & Standard Deviation.Module 2 Probabil ity , Probability Distributions & Decision theory Basic Concepts of Probability Discrete Probability Distribution sustained Probability Distributions Decision theory introduction to decision making & decision environments Module 3 sample distribution , Sampling Distributions & Testing of Hypothesis Sampling Fundamentals Different Methods of sampling Sampling Distributions Testing of Hypotheses Hypothesis test for means & proportionsModule 4 Forecasting Techniques & Time Series compendium Business Forecasting Correlation Regression analysis & its Applications for managers Various components of beat series & their analysis Use of statistical packages such as MS Excel /SPSS for forecasting & analysis Module 5 analog program Introduction of Operations Research, Scope and Models in Operations Research, Introduction of Linear Programming, Formulation of LPP & its applications to managers. Learning MethodsA series of lectures will impart training and be complemented by interactive tutor-led and student-led discussion. Teaching consists of 3 hours per week. The unit has thusly been designed to use a variety of teaching methods that should help students to quantitatively study the various aspects of international business environment. Formative tasks and presentations will modify students to build towards the completion of their assignment during the delivery of the unit. Examination Scheme Components C1 V A CT EE Weightage (%) 10 5 5 10 70 Text & References Text Rao AB, 2004, Quantitative Techniques in Business, Jaico Publishing House, Ist var. References Arora P. N. , Arora Sumeet, Arora S. , 2008, Comperihensive Statistical Methods, 2nd Edition, S. Chand Edward E. Qian, Ronald H. Hua, And Eric H.Sorensen, Quantitative Equity Portfolio Management Modern Techniques and Applications Chapman & hall/Crc Financial Mathematics Series, 2007 Levin R. I. & Rubin S. R. 2002, Statistics for Management, 9th Ed. Prentice Hall of India Gupta S P & Gupta M P, 20 00, Business Statistics, 12th Ed. Sultan Chand & Sons Sharma J K, 1997, Operations Research Theory & Application, Mac Millan India. Ltd. Hooda, R P,(2003),Statistics for business and economics,3rd,Macmillan Publication, New Delhi Richard C. Grinold And Ronald N. Kahn, Active Portfolio Management Quantitative Theory and Applications, 1995