Statistical Methods provides a comprehensive introduction to the concepts, techniques, and applications of statistics, making it an essential resource for students, researchers, and professionals across disciplines. The book balances theory with practical applications, enabling readers to understand data, draw valid conclusions, and make informed decisions.
The text begins with the foundations of statistics, including classification of data, frequency distributions, graphical representation, and measures of central tendency and dispersion. It moves into probability theory, random variables, and probability distributions such as binomial, Poisson, and normal distributions.
Core statistical methods are explained in detail, including sampling techniques, estimation, hypothesis testing, correlation, regression, analysis of variance (ANOVA), chi-square tests, and non-parametric methods. Each topic is supported with worked examples, step-by-step solutions, and exercises for practice.
Special emphasis is placed on applications in agricultural, biological, and social sciences, demonstrating how statistical tools are used to analyze experiments, evaluate treatments, design surveys, and interpret real-world data. Modern developments such as statistical software, data analytics, and computational tools are also introduced, linking traditional methods with contemporary needs.
By combining clarity of explanation, practical illustrations, and problem-solving approaches, Statistical Methods equips readers with the skills to apply statistics confidently in academic research, industry, and professional practice.
Book Details
Language: English
Pages: 33
Compiled By : Dr. S. N. Singh (Univ.Professor)
Dr. Fozia Homa (Asstt. Professor)
Mr. Subrat Keshori Behera (Asstt. Professor)
Price: Free
Course Outline of Statistical Methods
| S.No. | Chapter Title |
|---|---|
| 1 | Introduction, Applications in Agriculture, Frequency Distribution |
| 2 | Graphical Representation, Measures of Central Tendency, Dispersion |
| 3 | Theory of Probability |
| 4 | Normal Distribution |
| 5 | Binomial Distribution, Poisson Distribution |
| 6 | Introduction to Sampling |
| 7 | Test of Significance |
| 8 | Correlation |
| 9 | Regression |
| 10 | Design of Experiment – Randomized Block Design (RBD) |
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