Provide an example that follows either the binomial or Poisson distribution, and explain why that example follows that particular distribution.
Provide an example that follows either the binomial or Poisson distribution, and explain why that example...
Describe the differences between the use of the binomial and Poisson distribution. Provide one example of how each can be used and explain why you selected the example.
Describe an example that uses discrete probabilities or distributions. Provide an example that follows either the binomial probabilities or any discrete probability distribution, and explain why that example follows that distribution.
Describe or give an example that uses discrete probabilities or distributions. Provide an example that follows either the binomial probabilities or any discrete probability distribution, and explain why that example follows that distribution. In your response, make up numbers for the example provided by that other person, and ask a related probability question. Then show the work (or describe the technology steps) and solve that probability example.
Suppose Y follows a Binomial(M,0.4) (a conditional Binomial distribution given M) and M follows a Poisson distribution with mean equal to 5, what is the unconditional distribution of Y? Suppose Y follows a Binomial(M,0.4) (a conditional Binomial distribution given M) and M follows a Poisson distribution with mean equal to 5, what is the unconditional distribution of Y?
The binomial and Poisson distributions are two different discrete probability distributions. Explain the differences between the distributions and provide an example of how they could be used in the healthcare industry. Identify the functions for binomial, Poisson, and normal distributions and discuss how Excel can be used to calculate probabilities of X, <X, and >X. Apply an example to at least one business scenario.
In your short presentation, you will be describing an example that uses discrete probabilities or distributions. Provide an example that follows either the binomial probabilities or any discrete probability distribution, and explain why that example follows that distribution. *Can we please not use a coin example if possible
3. (4 points) Provide an example scenario of a binomial random variable that is related to your area of work or interest (first, you need to describe your work or area of interest!) and explain clearly how each requirement for the binomial distribution is satisfied. You can use the following questions as guides to provide your example. - Describe briefly your work or area of interest. - Describe a situation related to your work or area of interest with a...
The Binomial and Poisson Distributions Both the Binomial and Poisson Distributions deal with discrete data where we are counting the number of occurrences of an event. However, they are very different distributions. This problem will help you be able to recognize a random variable that belongs to the Binomial Distribution, the Poisson Distribution or neither. Characteristics of a Binomial Distribution Characteristics of a Poisson Distribution The Binomial random variable is the count of the number of success in n trials: number of...
what is the difference between poisson processes and poisson distribution? 1. Please explain the conception 2. Please give me two example, one for poisson processes and one for poisson distribution. they can be a problem 3. please explain the difference between two examples. Follow the comment please
1. How do the binomial, hypergeometric, poisson distributions, compare to the normal distribution?