Uniparametric Distribution

Uniparametric distribution is a statistical distribution having only one parameter to describe it. The parameter determines the location and shape of the distribution. It is also known as a one-parameter distribution.

Examples of uniparametric distributions include the exponential distribution, the Pareto distribution, and the Poisson distribution.

Answer

The correct answer to the given question is option 'B' - Poisson.

Explanation

Poisson distribution is a discrete probability distribution that describes the number of events occurring in a fixed interval of time or space if these events occur independently and at a constant rate. It is a uniparametric distribution because it has only one parameter, λ, which represents the mean or average number of events per interval.

Other distributions mentioned in the options are not uniparametric because they have more than one parameter to describe them.

- Binomial distribution has two parameters - n and p, representing the number of trials and the probability of success, respectively.
- Normal distribution has two parameters - mean (μ) and standard deviation (σ), which describe the central tendency and spread of the distribution.
- Hypergeometric distribution has three parameters - N, M, and n, representing the population size, the number of success states, and the number of trials, respectively.

Therefore, the Poisson distribution is the only uniparametric distribution among the options given.