#### Bernoulli Distribution: Definition, example, properties and applications

Bernoulli distribution is distribution where two possible outcome exists, probability of success “p” and probability of failure “q=1-p”. This outcome is known as Bernoulli trial.     Most of the discrete distribution are related with Bernoulli trials. An experiment is called Bernoulli trial if it has two possible outcomes namely success and failure. The probability […]

#### Binomial Distribution: Definition, Density function, properties and application

Binomial distribution is a special case of Bernoulli distribution where the number of trial is up to n times instead of two times ( probability of success “p” and probability of failure “q”).   Binomial distribution was discovered by James Bernoulli (1654-1705) in the year 1700 qnd was first published posthumously in 1713, eight years […]

#### Normal distribution: Definition, pdf, properties with applications

In probability, normal distribution is the most important continuous distribution in statistics because its common in natural phenomena. It is also known as Gaussian distribution and always symmetric about mean. There are also various probability distributions such as Bernoulli, Binomial , Negative Binomial, Geometric, Hypergeomettric, Poisson, Logarithmic series, Power series, Gamma, Beta, Uniform , Exponential distribution […]