Practical Problems in Quantitative Techniques & Methods


The present book provides a comprehensive treatment of the concepts and topics by giving a vast variety of fully solved examples. The entire subject matter has been arranged in a systematic, graded, simple, lucid and exhaustive manner to meet the various needs of all types of learners. Each practical problem of the corresponding exercise of the text book “Precize Quantitative Techniques & Methods” has been completely solved so that the study leads to perfect clarity and understanding.


Quantitative Techniques : Introduction and Use in Business

Theory of Probability : Introduction, Definitions and Use of Addition and Multiplicative Theorem, Conditional Probability. Probability-Distribution: Binomial-Distribution, Poisson-Distribution, Normal-Distribution

Linear Programming : Meaning, Advantages, Limitations, Basic Terminology, Formulation of Linear Programming Problem, Graphic Solution of Linear Programming Problem; Business Applications of Linear Programming.

       Interpolation and Extrapolation

       Correlation : Meaning, Types, Methods-Scattered Diagram, Karl Pearson’s Coefficient of Correlation, Rank Correlation and Concurrent Deviation Method.

Regression : Meaning and Significance, Difference Between Correlation and Regression, Simple Linear Regression and Estimation of Parameters (Slope and Intercept).