1.Roll 3 times independently a fair dice. Let X = The # of 6's obtained. The possible values of the discrete random variable X are:
2.For the above random variable X we have E[X] is:
3.The Domain of the moment generating function of the above random variable X is:
4.Let M(t) be the moment generating function of the above random variable X. The M'(0) is:
5.A discrete random variable X has the pmf f(x)=c(1/8)^x, for x in{8, 9, 10, ...}. Then c is:
6.Let X be a random variable such that Var(2X+3)=cVar(X). Then c is:
7.If the possible values of the discrete random variable X are 2, 4, 6, taken with the respective probabilities 1/2, 1/3, 1/6, then M"(0) is the following (M is the moment generating function of X):
8.The continuous random variable X has the density f(x)=c(x+10)^-2 on [0,40], and 0 otherwise. Then c is:
9.The probability that the above random variable X takes values less than 5 is:


1.Roll 3 times independently a fair dice. Let X = The # of 6's obtained. The...
5. You roll a pair of fair dice independently. What is the correlation coefficient of the high and low points rolled? Hints: Let X be the low points rolled and Y be the high points rolled. What is the joint pmf of X and Y? Check: P(X = 1,Y = 1) = 6, P(X = 4, Y = 6) = 26, and P(X 3, Y = 2) = 0.
5. You roll a pair of fair dice independently. What is...
Roll two fair four-sided dice. Let X and Y be the die scores from the 1st die and the 2nd die, respectively, and define a random variable Z = X − Y (a) Find the pmf of Z. (b) Draw the histogram of the pmf of Z. (c) Find P{Z < 0}. (d) Are the events {Z < 0} and {Z is odd} independent? Why?
Consider a roll of a pair of fair dice. Let X = absolute value of the difference of the two dice. What are the possible values that X can take on? Derive both the mass function and the distribution function for X.
Suppose you roll k >= 1 fair dice. Let X be the random variable for the sum of their values, and let Y be the random variable for the number of times an odd number comes up. Prove or disprove: X and Y are independent. *Please use the concept of independent random variables
Please answer the question clearly
6. Suppose that we roll a pair of balanced dice. Let X be the number of dice that show 1 and Y be the number of dice that show either 4, 5, or 6. (a) Draw a diagram like Figure 3.1 on page 62 showing the values of the pair (X, Y) associated with each of the 36 equally likely points of the sample space. (b) Construct a table showing the values of the joint...
You roll a fair 6-sided dice, let Y be the outcome of the dice roll. Then conditioned on the event {Y = k} for k = 1, . . . , 6 you randomly choose, X, to be uniformly distributed between 0 and k. a) Use the law of total probability to compute P({X < x}). b) Use part a) to compute fx(x). c) What is the expectation of X.
Consider the procedure of rolling a pair of dice 6 times and let x be the random variable consisting of the number of times the sum of the results is 7. The following table describes the probability distribution of x. X P(X) 0 0.334898 1 ¿? 2 ¿? 3 0.053584 4 0.008038 5 0.000643 6 0.000021 a) Find the missing probabilities b) It would be unusual to roll a pair of dice six times and get at least three times...
Consider three six-sided dice, and let random variable Y = the value of the face for each. The probability mass of function of Y is given by the following table: y 1 2 3 4 5 6 otherwise P(Y=y) 0.35 0.30 0.25 0.05 0.03 0.02 0 Roll the three dice and let random variable X = sum of the three faces. Repeat this experiment 50000 times. Find the simulated probability mass function (pmf) of random variable X. Find the simulated...
Write a Code in Java or Python, for the following scenario(s): Consider three six-sided dice, and let random variable Y = the value of the face for each. The probability mass of function of Y is given by the following table: y 1 2 3 4 5 6 otherwise P(Y=y) 0.35 0.30 0.25 0.05 0.03 0.02 0 Roll the three dice and let random variable X = sum of the three faces. Repeat this experiment 50000 times. Find the simulated...
You roll a pair of standard six–sided dice and record the largest of the two outcomes. Let X be random variable associated with the outcome of this experiment. (b) What is the probability mass function (PMF) of X? (c) What is the cumulative distribution function (CDF) of X?