Probability and Probability Distributions: Binomial, Poisson, Hypergeometric, Normal, and Exponential

**Category:** Quantitative Techniques, Research
Methodology

**Author:** Sharma Narender

**Language:** English

**Format:** PDF

**Price:** INR 150.00

Basic concepts, definition, and importance of probability, probability scale, combination theory of probability, addition and multiplication theorem. Conditional probability; multiplication theorem for dependent events, the combined use of addition and multiplication theorem, Bernoulli’s theorem, Bayes’ theorem.

Use of theoretical frequency distributions, types of theoretical frequency distributions. Binomial distribution; definition and formula, assumptions to apply binomial theorem, characteristics and applications. Poisson; assumptions for Poisson distribution, limiting form of binomial distribution, uses, and application of Poisson distribution. Hypergeometric; the assumption, formula, characteristics, and application of hypergeometric distribution. Normal distribution; Introduction, definition, and formula for normal distribution, the shape of the normal curve, assumptions, characteristics, and importance of normal distribution, application of normal distribution, Exponential distributions; introduction, properties, and application of exponential distribution.