Every possible care has been taken to avoid errors of print and principle still, we stand apologetic for the errors, if any, having crept in the book unnoticed. The illustrations and exercises have been selected from the various Universities Examinations and have been given topic-wise graded from easy to difficult.

Quantitative Techniques Book Contents

1. Quantitative Techniques
2. Probability (including Bayes’ Theorem)
3. Probability Theoretical Distribution: Binomial, Poisson, and Normal
4. Sampling Theory and Hypothesis Testing
5. Tests of Significance – Large Samples
6. Tests of Significance: Small Samples: Application of T-Test, Z-Test, and F-Test
7. Chi-Square Test
8. Non-Parametric Tests
9. Linear Programming
10. Matrix
11. Matrix Inverse
12. Solutions of a System of Linear Equation
13. Variables, Functions, and Limits
14. Elements of Calculus

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