Binomial Distribution Homework Help, Binomial Distribution Assignment Help
Binomial distribution summarizes the probability of a value taking one or two independent values and by considering a set of assumptions and parameters. The following assumptions are made in binomial distribution;
- There is only one outcome for each trial
- Every trial made has an equal chance of success and failure
- Each trial is mutually exclusive and independent to each other.
- The experiment is performed under the same conditions for a fixed number of trials
A researcher uses binomial distribution to observe a specified number of successful outcomes in a set number of trials. The expected value is calculated by multiplying the number of trials by the probability of successes. Binomial distribution theorem was propounded by a Swiss mathematician, Jacob Bernoulli in 1700. A researcher would carry out a repeated experiment which either yields a success or failure. The occurrence of failure or success in the experiment has no pattern.
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BINOMIAL DISTRIBUTION ASSIGNMENT HELP
Binomial distribution also known as Bernoulli distribution, is a probability distribution that determines the chance of success or failure occurring in an experiment. It is greatly applied in many disciplines such as business and social sciences to describe a wide variety of processes. Binomial distribution has three main attributes;
- Pattern or shape of the binomial distribution
- The standard deviation which measures the dispersion of the binomial distribution
- The mean of the binomial distribution which is denoted by (nP)
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