2. Statistical Inference: Testing of Hypotheses (2009 Edition)
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┌───────────────────────────┐ │ Statistical Inference │ └─────────────┬─────────────┘ │ ┌──────────────────────┴──────────────────────┐ ▼ ▼ ┌──────────────────────────┐ ┌──────────────────────────┐ │ Theory of Estimation │ │ Testing of Hypotheses │ └──────────────────────────┘ └──────────────────────────┘ 1. Theory of Estimation
Dr. Manoj Kumar Srivastava, Ph.D., is an Associate Professor in the Department of Statistics at the Institute of Social Sciences, Dr. B.R. Ambedkar University (formerly Agra University), Agra. He brings nearly two decades of teaching experience and has published numerous research papers in national and international journals and conferences.
While estimation seeks to approximate a specific value, evaluates claims about a population. Srivastava’s work guides students through the rigorous mathematical proofs required to determine if an observed effect is statistically significant or merely the result of random chance. This involves balancing Type I errors (false positives) and Type II errors (false negatives) to ensure the reliability of scientific conclusions. 3. Classical vs. Bayesian Perspectives