Quantitative Applications in Management

NTITATIVE MGNT QUANTITATIVE APPLICATIONS IN MANAGEMENT Course Code MIB 105Credit Units 03 Course Objective The object of this course is to develop the understanding of the various statistical models, used for finiss making in the functions of the management of some(prenominal) organization with respect to International personal credit line. To equip the students with tools and techniques for application of concepts to real life problems for efficient managerial decision making. Learning OutcomesAt the end of the course students will be able to Use statistical techniques to store and analyse data Produce forecasts using statistical packages Apply quantitative techniques to business situations. Course contents Module I creative activity Quantitative Decision Making an overview, Collection , Classification & Presentation of Data, Measures of aboriginal Tendency Mean, Median, Mode, Geometric Mean & Harmonic Mean, Measures of Dispersion Range, Quartile Deviation, Average Deviat ion & Standard Deviation.Module 2 Probability , Probability Distributions & Decision theory Basic Concepts of Probability Discrete Probability Distribution nonstop Probability Distributions Decision Theory introduction to decision making & decision environments Module 3 sample distribution , Sampling Distributions & Testing of surmisal Sampling Fundamentals Different Methods of sampling Sampling Distributions Testing of Hypotheses Hypothesis testing for means & proportionsModule 4 anticipate Techniques & Time Series Analysis Business Forecasting Correlation Regression analysis & its Applications for managers Various components of time serial & their analysis Use of statistical packages such(prenominal) as MS Excel /SPSS for forecasting & analysis Module 5 Linear Programming 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 information and be complemented by interactive tutor-led and student-led discussion. Teaching consists of 3 hours per week. The unit has frankincense been designed to use a variety of teaching methods that should help students to quantitatively study the various aspects of supranational business environment. Formative tasks and presentations will enable students to build towards the completion of their assignment during the delivery of the unit. Examination final cause 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 Edition 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 focusing Modern Techniques and Applications Chapman & Hall/Crc Financial Mathematics Series, 2007 Levin R. I. & Rubin S. R. 2002, Statistics for Mana gement, 9th Ed. Prentice Hall of India Gupta S P & Gupta M P, 2000, 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, tonic Delhi Richard C. Grinold And Ronald N. Kahn, Active Portfolio Management Quantitative Theory and Applications, 1995