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 the differences between the use of the binomial and Poisson distribution. Provide one example of...
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.
Provide an example that follows either the binomial or Poisson distribution, and explain why that example follows that particular distribution.
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...
describe the differences and similarities between viruses, worms, and Trojan horses. Provide an example of at least one of these and describe that damage that can be done when a person or corporation is infected.
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.
Discuss how a manager of a retail store can use both the binomial and Poisson distributions to make business decisions. Explain how the distributions differ. Provide examples of the type of data that could be used in calculating the probabilities.
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
Discuss how a manager of a retail store can use both the binomial and Poisson distributions to make business decisions. Explain how the distributions differ. Provide examples of the type of data that could be used in calculating the probabilities. 4/2019
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...
xQ4. Describe the differences between the 2 models used to describe enzyme mechanisms of action and explain why one can is useful to describe both competitive and non-competitive enzyme inhibition and one can only describe competitive inhibition. re ill of xQ4. Describe the differences between the 2 models used to describe enzyme mechanisms of action and explain why one can is useful to describe both competitive and non-competitive enzyme inhibition and one can only describe competitive inhibition. re ill of