Question

In each of the following cases compute c > 0 such that f (n) is the...

In each of the following cases compute c > 0 such that f (n) is the pmf of a discrete random variable on {1,2,...}

1. f(n)=cn^(-4)

2. f(n)=(c3^(−n))/n

3. f(n)=c3^(-n)

4. f(n)=(c4^(n))/n!

Math   Statistics-And-Probability   
0 0
Add a commentTranscribed image text
Next >

Homework Answers

Answer #1

0 0
Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Log In

Sign Up

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
1. The Taylor series for f(x)=x^3 at 1 is ∞∑n=0 cn(x−1)^n. Find the first few coefficients....
1. The Taylor series for f(x)=x^3 at 1 is ∞∑n=0 cn(x−1)^n. Find the first few coefficients. c0=    c1= c2=    c3= c4=   2. Given the series: ∞∑k=0 (−1/6)^k does this series converge or diverge? diverges converges If the series converges, find the sum of the series: ∞∑k=0 (−1/6)^k=
If x is a binomial random variable, compute P(x) for each of the following cases: (a)...
If x is a binomial random variable, compute P(x) for each of the following cases: (a) P(x≤4),n=6,p=0.9 P(x)= (b) P(x>2),n=6,p=0.7 P(x)= (c) P(x<2),n=3,p=0.1 P(x)= (d) P(x≥1),n=7,p=0.3 P(x)=
1. If X is a binomial random variable, compute for each of the following cases: a)...
1. If X is a binomial random variable, compute for each of the following cases: a) n=15, p= 0.4 , P(5<= X < 9) b) n=9, p=0.2, P(X >= 2)
If XX is a binomial random variable, compute the probabilities for each of the following cases:...
If XX is a binomial random variable, compute the probabilities for each of the following cases: (a) P(X≤1),n=9,p=0.3P(X≤1),n=9,p=0.3 Probability = (b) P(X>4),n=5,p=0.5P(X>4),n=5,p=0.5 Probability = (c) P(X<1),n=5,p=0.25P(X<1),n=5,p=0.25 Probability = (d) P(X≥3),n=6,p=0.25P(X≥3),n=6,p=0.25 Probability =
For all problems on this page, use the following setup: Let N be a positive integer...
For all problems on this page, use the following setup: Let N be a positive integer random variable with PMF of the form pN(n)=1/2⋅n⋅2^(−n),n=1,2,…. Once we see the numerical value of N, we then draw a random variable K whose (conditional) PMF is uniform on the set {1,2,…,2n}. Write down an expression for the joint PMF pN,K(n,k). For n=1,2,… and k=1,2,…,2n: pN,K(n,k)=
If ?x is a binomial random variable, compute ?(?) for each of the following cases: (a)  ?(?≤6),?=8,?=0.2...
If ?x is a binomial random variable, compute ?(?) for each of the following cases: (a)  ?(?≤6),?=8,?=0.2 ?(?)= (b)  ?(?>4),?=5,?=0.5 ?(?)= (c)  ?(?<2),?=3,?=0.8 ?(?)= (d)  ?(?≥5),?=9,?=0.6 ?(?)=
if x is a binomial random variable, compute P(x) for each of the following cases (record...
if x is a binomial random variable, compute P(x) for each of the following cases (record your answer to atleast 3 decimal places): (a)  P(x≤1),n=3,p=0.5 P(x)=? (b)  P(x>4),n=8,p=0.6 P(x)= ? (c)  P(x<4),n=6,p=0.7 P(x)= ? (d)  P(x≥3),n=7,p=0.3 p(x)=?
Let N be a positive integer random variable with PMF of the form pN(n)=12⋅n⋅2−n,n=1,2,…. Once we...
Let N be a positive integer random variable with PMF of the form pN(n)=12⋅n⋅2−n,n=1,2,…. Once we see the numerical value of N , we then draw a random variable K whose (conditional) PMF is uniform on the set {1,2,…,2n} . 1. Find joint PMF pN,K(n,k) For n=1,2,… and k=1,2,…,2n 2. Find the marginal PMF pK(k) as a function of k . For simplicity, provide the answer only for the case when k is an even number. For k=2,4,6,… 3. Let...
Consider an acceptance sampling plan with n=25 and c=0. Compute the producer's risk for each of...
Consider an acceptance sampling plan with n=25 and c=0. Compute the producer's risk for each of the following cases. a. The lot has a defect rate of 2%. b. The lot has a defect rate of 6%.
Let X, Y be two random variables with a joint pmf f(x,y)=(x+y)/12 x=1,2 and y=1,2 zero...
Let X, Y be two random variables with a joint pmf f(x,y)=(x+y)/12 x=1,2 and y=1,2 zero elsewhere a)Are X and Y discrete or continuous random variables? b)Construct and joint probability distribution table by writing these probabilities in a rectangular array, recording each marginal pmf in the "margins" c)Determine if X and Y are Independent variables d)Find P(X>Y) e)Compute E(X), E(Y), E(X^2) and E(XY) f)Compute var(X) g) Compute cov(X,Y)
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT