What kind of distributions are the binomial and Poisson probability distributions? A. Discrete B. Continuous ...
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 |
Homework Answers
ans OPTION A
A Poisson distribution is a discrete probability distribution. It has the same four characteristics as the binomial,
BOTH BINOMIaL QND POISSON PROBABILITY DISTRIBUTIONS ARE discrete
general defination
Add Answer to:
What kind of distributions are the binomial and Poisson probability distributions?
A.
Discrete
B.
Continuous
...
The binomial and Poisson distributions are two different discrete probability distributions. Explain the differences between the...
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.
The Binomial and Poisson Distributions Both the Binomial and Poisson Distributions deal with discrete data where...
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...
Two common probability distributions are ______ and _____. A. Discrete, Continuous B. Discrete C. Continuous D....
Two common probability distributions are ______ and _____. A. Discrete, Continuous B. Discrete C. Continuous D. None of the above
The uniform, normal, and exponential distributions a. are all continuous probability distributions. b. are all discrete...
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.
1. A Binomial random variable is an example of a, a continuous random variable b. a...
1. A Binomial random variable is an example of a, a continuous random variable b. a discrete random variable. c. a Binomial random variable is neither continuous nor discrete d. a Binomial random variable can be both continuous and discrete. Consider the following probability distribution where random variable X denotes the number of cups of coffee a random individual drinks in the morning P(x) 0.350 .400 .14 0.07 0.03 0.01 pe a. Compute the probability that a random individual drinks...
Explain fully the differences and connections between the following probability processes: discrete distributions, such as binomial...
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
show excel formulas please 2. Discrete and Continuous Probability Distributions: In the following three parts, write...
show excel formulas please
2. Discrete and Continuous Probability Distributions: In the following three parts, write the formula and value for the cases shown. (a) X is the binomial random variable with n = 50 and p = 0.65. [8 points) Case Excel Formula Value PIX> 25) P(X < 35) OMBE 2787 Makeup Test Summer 2020 (b) Suppose that a bank receives an average of 7 bad checks per day and this process can be modeled as a Poisson distribution....
Discrete Probability Distributions, Continuous Probability Distri- butions, and Sampling Distributions (100 points) 1. Does each of...
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
(19) For the following discrete randon variables, find m1, m2, and σ (a) Bernoulli (b) Binomial (c) Poisson (d) Geometric (20) For the following continuous random variables, find m1, m2, and σ2 (a) U...
(19) For the following discrete randon variables, find m1, m2, and σ (a) Bernoulli (b) Binomial (c) Poisson (d) Geometric (20) For the following continuous random variables, find m1, m2, and σ2 (a) Uniform (b) Exponential (c) Gamma (d) Normal (e) Cauchy. .G (f) Pareto/Zeta" The answers to the above two problems can be found in a great man places. For example, in your book i get answers, but be able to calculate them n Appendix A. The point is...
. Discrete Distributions. Suppose I flip a coin 40 times. The flips are independent. The probability...
. Discrete Distributions. Suppose I flip a coin 40 times. The flips are independent. The probability the coin will come up heads is 40% at each flip. Let X be the number of heads observed in the 40 flips. 26. What is the expected value of X? 27. What is the variance of X? 28. What is P(X 18)? 29. What is P(X 2 18) 30. Using the normal approximation to the binomial with the conti 31. Is the normal...
1. A Binomial random variable is an example of a, a continuous random variable b. a discrete random variable. c. a Binomial random variable is neither continuous nor discrete d. a Binomial random variable can be both continuous and discrete. Consider the following probability distribution where random variable X denotes the number of cups of coffee a random individual drinks in the morning P(x) 0.350 .400 .14 0.07 0.03 0.01 pe a. Compute the probability that a random individual drinks...
show excel formulas please
2. Discrete and Continuous Probability Distributions: In the following three parts, write the formula and value for the cases shown. (a) X is the binomial random variable with n = 50 and p = 0.65. [8 points) Case Excel Formula Value PIX> 25) P(X < 35) OMBE 2787 Makeup Test Summer 2020 (b) Suppose that a bank receives an average of 7 bad checks per day and this process can be modeled as a Poisson distribution....
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
(19) For the following discrete randon variables, find m1, m2, and σ (a) Bernoulli (b) Binomial (c) Poisson (d) Geometric (20) For the following continuous random variables, find m1, m2, and σ2 (a) Uniform (b) Exponential (c) Gamma (d) Normal (e) Cauchy. .G (f) Pareto/Zeta" The answers to the above two problems can be found in a great man places. For example, in your book i get answers, but be able to calculate them n Appendix A. The point is...
. Discrete Distributions. Suppose I flip a coin 40 times. The flips are independent. The probability the coin will come up heads is 40% at each flip. Let X be the number of heads observed in the 40 flips. 26. What is the expected value of X? 27. What is the variance of X? 28. What is P(X 18)? 29. What is P(X 2 18) 30. Using the normal approximation to the binomial with the conti 31. Is the normal...
Most questions answered within 3 hours.
-
A coach uses a new technique to train gymnasts. Seven
gymnasts were randomly selected and their...
asked 43 minutes ago -
While rotating the tires on your car you notice a rock [mass =
0.1 Kg] stuck...
asked 2 hours ago -
Using MARS simulator, write MIPS programs according to
the following scenarios: Receive a positive integer number...
asked 4 hours ago -
An object in front of a concave mirror has a real image that is
11.5 cm...
asked 4 hours ago -
Consider the reaction, C3 H8 + O2 --> CO2 + H2O. How many
moles of O2...
asked 6 hours ago -
You and your opponent both roll a fair die. If you both roll the
same number,...
asked 6 hours ago -
In a study of the accuracy of fast food drive-through orders,
Restaurant A had 257 accurate...
asked 6 hours ago -
Identify and describe in detail the four categories of
institutions that could be included in a...
asked 6 hours ago -
In python
class Customer:
def __init__(self, customer_id, last_name, first_name, phone_number, address):
self._customer_id = int(customer_id)
self._last_name =...
asked 7 hours ago -
What is an example of a limitation in implementing a new
ERP system and how it...
asked 6 hours ago -
In a section of 9.7cm of an artery with a radius of 2.6mm there
is a...
asked 6 hours ago -
the two carboxylic acid groups of aspartic acid have different
acidities with pKa values of 2.1...
asked 7 hours ago