Suppose that y = x2, where x is a normally distributed random variable with a mean and variance of µx = 0 and σ2x = 4. Find the mean and variance of y by simulation. Does µy = µ2x? Does σy = σ2x? Do this for 100, 1000, and 5000 trials.
A random variable X is Normally distributed with mean = 75 and =
8. Let Y be a second Normally distributed random variable with mean
= 70 and = 12. It is also known that X and Y are independent of one
another. Let W be a random variable that is the difference between
X and Y (i.e., W = X – Y). What can be said about the distribution
of W?
When answering each of the following, the random
variable Y is normally distributed with a mean of 65 and a standard
deviation of 4.
The value of z for being able to determine P(Y ≤ 62) is
_______
The P(Y ≤ 62) is
________
The 2 values of z for being able to determine P( 69 ≤ Y ≤ 74)
are _______ and ________
The P( 69 ≤ Y ≤ 74) is
_________
The value of z for being able...
When answering each of the following, the random
variable Y is normally distributed with a mean of 65 and a standard
deviation of 4.
The value of z for being able to determine P(Y ≤ 60) is
_____
The P(Y ≤ 60) is
_____
The 2 values of z for being able to determine P( 70 ≤ Y ≤ 73)
are _____ and _____
The P( 70 ≤ Y ≤ 73) is
_____
The value of z for being able...
A random variable Y whose distribution is binomial with
parameters are n = 500 and p= 0.400, and here Y suggests the number
of desired outcomes of the random experiment and n-Y is the number
of undesired outcomes obtained from a random experiment of n
independent trials. On this random experiment p̂ sample
proportion is found as Y/n. (Round your answers to 3
decimal places in all parts.)
a)What is the expected value of this statistic?
b)Between what limits will...
(a) Let X be a binomial random variable with parameters (n, p).
Let Y be a binomial random variable with parameters (m, p).
What is the pdf of the random variable Z=X+Y?
(b) Let X and Y be indpenednet random variables. Let Z=X+Y.
What is the moment generating function for Z in terms of those
for X and Y?
Confirm your answer to the previous problem (a) via moment
generating functions.
A random variable X is normally distributed with a mean
of 1 and variance 4. Find a) The probability that a randomly
selected score from this distribution is less than 3.
a.)Sketch a normal curve and shade out the region.
b) The probability that a score selected at random from this
distribution lies between 2 and 5. Sketch a normal curve and shade
out the region
c) The probability that a score selected at random from this
distribution is greater...
Use the Rejection Method to generate n = 1000 values for a
random variable X distributed as Exponential (lambda=5). Create a
density histogram for your generated values and superimpose the
probability density function of the target distribution to the
histogram. Use the generated values to estimate the mean, standard
deviation, and the probability that X < 2. Compare them with the
theoretic values which are 0.2, 0.2, and 0.97725, respectively.
Report the rejection rate. Write in R code
(a) Let Y be distributed N(0, 1), i.e. the standard normal
variable. Calculate P(Y <= 1.96), P(Y <= 0) and P(Y >
0.6772). Bound P(Y > 3).
(b) Let Y be distributed N(1, 4). Calculate P(Y < 1), P(Y
> 2), P(1 ≤ Y ≤ 2).
(c) Let Y be distributed χ 2 1 . Calculate P(Y < 1), P(Y >
3.8416) using the results of the first question.
(d) Let Y be distributed χ 2 3 . Calculate P(Y...