Question

Problem #3. X is a random variable with an exponential distribution with rate λ = 7...

Problem #3. X is a random variable with an exponential distribution with rate λ = 7 Thus the pdf of X is f(x) = λ e−λx for 0 ≤ x where λ = 7.


a) Using the f(x) above and the R integrate function calculate the expected value of X.

b) Using the f(x) above and the R integrate function calculate the expected value of X2

c) Using the dexp function and the R integrate command calculate the expected value of X.

d) Using the pexp function find the probability that .2 ≤ X ≤ .4

e) Calculate the probability that X > .2. Use the pexp function

f) Calculate the probability that X is at least .3 more than its expected value.Use the pexp function

g) Copy your R script for the above into the text box here.

Homework Answers

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Problem #3. X is a random variable with an exponential distribution with rate λ = 7...
Problem #3. X is a random variable with an exponential distribution with rate λ = 7 Thus the pdf of X is f(x) = λ e−λx for 0 ≤ x where λ = 7. PLEASE ANSWER these parts if you can. f) Calculate the probability that X is at least .3 more than its expected value.Use the pexp function: g) Copy your R script for the above into the text box here.
Question 7) Suppose X is a Normal random variable with with expected value 31 and standard...
Question 7) Suppose X is a Normal random variable with with expected value 31 and standard deviation 3.11. We take a random sample of size n from the distribution of X. Let X be the sample mean. Use R to determine the following: a) Find the probability P(X>32.1): b) Find the probability P(X >32.1) when n = 4: c) Find the probability P(X >32.1) when n = 25: d) What is the probability P(31.8 <X <32.5) when n = 25?...
Question 2) The density of random variable X is f(x) = 15(x2−36)(64−x2) / 3904 for 6...
Question 2) The density of random variable X is f(x) = 15(x2−36)(64−x2) / 3904 for 6 ≤ x ≤ 8 and 0 otherwise. Do computations using the R integrate function. a) Find the probability that X > 7: b) Find the probability that 6.5 < X < 7.5: e) Find the probability that x is within one standard deviation of its expected value: f) In the following paste your R script for this problem:
If X is an exponential random variable with parameter λ, calculate the cumulative distribution function and...
If X is an exponential random variable with parameter λ, calculate the cumulative distribution function and the probability density function of exp(X).
Given the exponential distribution f(x) = λe^(−λx), where λ > 0 is a parameter. Derive the...
Given the exponential distribution f(x) = λe^(−λx), where λ > 0 is a parameter. Derive the moment generating function M(t). Further, from this mgf, find expressions for E(X) and V ar(X).
Suppose that X|λ is an exponential random variable with parameter λ and that λ|p is geometric...
Suppose that X|λ is an exponential random variable with parameter λ and that λ|p is geometric with parameter p. Further suppose that p is uniform between zero and one. Determine the pdf for the random variable X and compute E(X).
Note: The following problem involves the concept that if X~ Exponential(λ) then the expected value (also...
Note: The following problem involves the concept that if X~ Exponential(λ) then the expected value (also referred to as average or mean) of X is 1 / λ. Conversely, λ = 1 / average. Once you know the value of λ, you also know the PDF and CDF which can be used to calculate the required probabilities. The number of days ahead travelers purchase their airline tickets can be modeled by an exponential distribution with the average amount of time...
Let X1, X2, . . . , Xn be iid following exponential distribution with parameter λ...
Let X1, X2, . . . , Xn be iid following exponential distribution with parameter λ whose pdf is f(x|λ) = λ^(−1) exp(− x/λ), x > 0, λ > 0. (a) With X(1) = min{X1, . . . , Xn}, find an unbiased estimator of λ, denoted it by λ(hat). (b) Use Lehmann-Shceffee to show that ∑ Xi/n is the UMVUE of λ. (c) By the definition of completeness of ∑ Xi or other tool(s), show that E(λ(hat) |  ∑ Xi)...
Question 6) Suppose X is a random variable taking on possible values 0,2,4 with respective probabilities...
Question 6) Suppose X is a random variable taking on possible values 0,2,4 with respective probabilities .5, .3, and .2. Y is a random variable independent from X taking on possible values 1,3,5 with respective probabilities .2, .2, and .6. Use R to determine the following. f) Find the expected value of X*Y. (i.e. X times Y) g) Find the expected value of 3X - 5Y. h) Find the variance of 3X - 5Y i) Find the expected value of...
A random variable XX with distribution Exponential(λ)Exponential(λ) has the memory-less property, i.e., P(X>r+t|X>r)=P(X>t) for all r≥0...
A random variable XX with distribution Exponential(λ)Exponential(λ) has the memory-less property, i.e., P(X>r+t|X>r)=P(X>t) for all r≥0 and t≥0.P(X>r+t|X>r)=P(X>t) for all r≥0 and t≥0. A postal clerk spends with his or her customer has an exponential distribution with a mean of 3 min3 min. Suppose a customer has spent 2.5 min2.5 min with a postal clerk. What is the probability that he or she will spend at least an additional 2 min2 min with the postal clerk?