Question

In: Math

Give an example of a discrete distribution which has finite first and second moments, but the...

Give an example of a discrete distribution which has finite first and second moments, but the third moment does not exist.

Solutions

Expert Solution


Related Solutions

Describe the algorithm to generate random numbers from an arbitrary discrete distribution with finite number of...
Describe the algorithm to generate random numbers from an arbitrary discrete distribution with finite number of outcomes.
What is the difference between a discrete probability distribution and a continuous probability distribution? Give your...
What is the difference between a discrete probability distribution and a continuous probability distribution? Give your own example of each. What is the expected value, and what does it measure? How is it computed for a discrete probability distribution?
What is the difference between a discrete probability distribution and a continuous probability distribution? Give your...
What is the difference between a discrete probability distribution and a continuous probability distribution? Give your own example of each. What is the expected value, and what does it measure? How is it computed for a discrete probability distribution?
What is the difference between a discrete probability distribution and a continuous probability distribution? Give your...
What is the difference between a discrete probability distribution and a continuous probability distribution? Give your own example of each. What is the expected value, and what does it measure? How is it computed for a discrete probability distribution?
1. Post an example of Inferential Statistics. 2. Give an example of a Discrete Variable and...
1. Post an example of Inferential Statistics. 2. Give an example of a Discrete Variable and an example of a Continuous Variable. Do not use examples posted by other students.
give an example of a discrete random variable X whose values are integers and such that...
give an example of a discrete random variable X whose values are integers and such that E(X) = infinite. Prove that E(X) = infinite for your example. (hints: if you will be paid 2^k dollars for the kth head when you flip a fair coin., the expected value is infinite...) Or give other easy examples.
Give an example of a function F which is the joint probability distribution (not density) function...
Give an example of a function F which is the joint probability distribution (not density) function of a pair of random variables X and Y such that (a) X and Y are independent and discrete (b) X and Y are dependent and discrete (c) X and Y are independent and continuous (d) X and Y are dependent and continuous
Prove that every finite integral domain is a field. Give an example of an integral domain...
Prove that every finite integral domain is a field. Give an example of an integral domain which is not a field. Please show all steps of the proof. Thank you!!
1.the distribution of the processes are different though they have same finite dimensional distributions give a...
1.the distribution of the processes are different though they have same finite dimensional distributions give a example Let {Xn : n ≥ 0} denote the random walk on 9 cycle. Express it as a random walk on a group (G, ·) with transition probabilities given by pxy = µ(y · x −1 ) for an appropriate distribution µ on G.
give an example of industry that has witnessed substantial changes in channels of distribution. What are...
give an example of industry that has witnessed substantial changes in channels of distribution. What are the fundamental reasons such as consumer behavior, competition, or technology (or others) for this change? Of the fundamental reasons stated for the changes to channels of distribution, what do you see as being the most significant and why?
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT