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Quantitative Techniques for Management (Code: qm BOOK)    Quantitative Techniques for Management SOLVED PAPERS AND GUESS

Product Details: Shivaji university  Quantitative Techniques for Management SOLVED PAPERS AND GUESS

Format: BOOK  question and answer fully solved

Pub. Date: NEW EDITION APPLICABLE FOR Current EXAM

Publisher: MEHTA SOLUTIONS

Edition Description: 2018-19

RATING OF BOOK: EXCELLENT

FROM THE PUBLISHER

If you find yourself getting fed up and frustrated with other shivaji university mba book solutions now mehta solutions brings top solutions for shivaji university . this Quantitative Techniques for Management book contains previous year solved papers plus faculty important questions and answers specially for shivaji university  .questions and answers are specially design specially for shivaji university students .

• Case studies solved
•  last 5 years important solved papers with guess and notes

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FULLY SOLVED BOOK

Mathematics and Statistics For Management
(Quantitative Techniques for Management)
Unit 1: Functions: Meaning and definition of functions, types of functions, functions used in
business and economics. Determinants - Meaning of determinants, Evaluation of second & third order determinants, Cramers rule. Application of cramer’s rule. Matrices –Meaning of matrix, order of matrix, algeebra of matrices, unit matrix, transpose of matrix, equality of two matrices, adjoint of matrix, universe of matrix, scaler multiplication of a matrix, Application of matrices in business. Mathematics of finance-interest calculation, annuity, present value annuity, present value concept in investment.
Unit 2: Meaning of Central Tendency, Types of central tendancy (Without Harmonic and Geometric Mean). Measure of Dispersion-range, mean deviation, quartile deviation Standard deviation & Variance. Correlation - Definition of correlation, Types of correlation Karl Pearson’s correlation coefficient & its interpretation (continuous data be omitted). Regression: Meaning of regression, least square method, linear & non – linear regression.
Unit 3 : Probabilty- Addition and multiplication rules of probability, Baye’s theorm, Discrete and Continous probability distribution. Bionomial, Possion and Normal probability distribution. Applies examples
Unit 4: Time series and index numbers: time series – basic concept, meaning, components of time series, three years and five years moving averages. Index numbers – concept, methods of measuring index, base year formulas for predicting index number. Concept of Statistical Quality Control (SQC), X- bar chart, R-Chart.

Note: Problems/Examples should be solved using SPSS / EXCEL.

Old price: 450.00 Rs
Price: 320.00 Rs
Delivery time: 2-5 days
Weight: 0.5 Kg