The main advantage of Discrete Probability Distributions is that it makes it easy to calculate probabilities for a variety of events.
True OR
False
This statement is True because in continuous probability distribution, we have to do integrations for calculating probabilities.
The main advantage of Discrete Probability Distributions is that it makes it easy to calculate probabilities...
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.
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.
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
CENGAGE | MINDTAP Q Search this course Ch 05: Mastery Assignment - Discrete Probability Distributions < Back to Assignment =1-POISSON.DIST(6.1,4, TRUE) =POISSON.DIST(4,6.1, TRUE) Attempts: Average: /4 =POISSON.DIST(4,6.1, FALSE) 10. Using Excel - Poisson probabilities =POISSON.DIST(6.1,4, TRUE) =POISSON.DIST(6,6.1, FALSE) =POISSON.DIST(6.1,4,FALSE) =POISSON.DIST(6.1,6, FALSE) Suppose the number of fouls called per game in an under 16 girls indoor soccer league follows a Poisson distribution with 6.1 fouls per game. Define x as the number of fouls called in a game. You will answer...
1. What is discrete probability distribution? 2. What conditions must be satisfied in a discrete probability distribution 3. A discrete probability distribution assigns probabilities to individual values. To what are probabilities assigned in continuous probability distributions.
The uniform, normal, and exponential distributions a. are all continuous probability distributions. b. are all discrete probability distributions. c. are all the same distributions. d. can be either continuous or discrete, depending on the data.
What kind of distributions are the binomial and Poisson probability distributions? A. Discrete B. Continuous C. Both discrete and continuous D. Neither discrete or continuous
Question 1: Consider two discrete probability distributions with the same sample space and the same expected value. Are the standard deviations of the two distributions necessarily equal? Explain. (Which of the below is correct) A) Yes, because both distributions have the same sample space, they will have the same standard deviation as well. B) Yes, because both distributions have the same expected value, they will have the same standard deviation as well. C) No, the standard deviations of two different...
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