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 an example that uses discrete probabilities or distributions. Provide an example that follows either the...
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.
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
Provide an example that follows either the binomial or Poisson distribution, and explain why that example follows that particular distribution.
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.
1. Provide an example of a discrete probability distribution. Explain how the example meets the criteria for a probability distribution. 2. What would be the expected value of the probability distribution used as an example in the previous question? Report the value and describe what it represents.
Explain fully the differences and connections between the following probability processes: discrete distributions, such as binomial distributions normal distribution probability probability presented as the number of outcomes over the total
The main advantage of Discrete Probability Distributions is that it makes it easy to calculate probabilities for a variety of events. True OR False
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.
Discrete Probability Distributions, Continuous Probability Distri- butions, and Sampling Distributions (100 points) 1. Does each of the following tables represent a probability distribution? Explain why or why not. For those that represent a probability distribution, calculate the mean and variance of the variable r. a f(x) 0.5 0.25 0.25 f(x) 0.4 0.4 0.4 0.2 ( X 1 2 3 4 C) f(x) 0.5 0.3 0.3 -0.1
Activity One: Discrete Probability Distributions in Action (Example #1) A company examining its website operations notes the number of overloads being experienced follows a Poisson distribution with an average of three overloads to the online- booking system during a 100 day period. Express your answers in a percentage to two decimal places, what is the probability... Q1.1) Of no failures on a given day? Q1.2) One or more overloads on a given day? Q1.3) At least two failures in a...