Question

For which of the following distributions mean and variance are equal?
a) normal distribution
b) Poisson distribution
c) binomial distribution
d)​

Answer 1

Answer:

a) normal distribution

Answer 2

Answer:

In probability theory the Poisson distribution is a discrete probability distribution that expresses the probability that a given number of events will occur in a fixed time or space interval, if these events occur at a known constant mean rate and independent of the time since the last event .

Find :

For which of the following distributions mean and variance are equal?

a) normal distribution

b) Poisson distribution

c) binomial distribution

Given :

For which of the following distributions mean and variance are equal?

a) normal distribution

b) Poisson distribution

c) binomial distribution

Step-by-step explanation:

In the Poisson distribution, the mean and variance are equal, i.e. mean = variance .

The Poisson distribution is actually an important type of probability distribution formula. As in the binomial distribution, we will not know the number of trials or the probability of success on a particular track. The average number of successes will be shown over a certain time interval. The average number of successes is called "Lambda" and is denoted by the symbol X.

The French mathematician Siméon-Denis Poisson developed this function in 1830. It is used to describe the number of times a player can win a rarely won game of chance out of a large number of trials.

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