here as sum of probability is equal to 1
therefore P(X=1)+P(X=2)+P(X=3)+P(X=4)+P(X=5)+P(X=6)=1
P(X=1)+P(X=1)+P(X=1)+P(X=1)+3*P(X=1)+3*P(X=1)=1
P(X=1)=1/10
therefore
P(X=1)=1/10
P(X=2)=1/10
P(X=3)=1/10
P(X=4)=1/10
P(X=5)=3/10
P(X=6)=3/10
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.
Can someone help me in number 1, 2 and 3?
Thank you
1. (a) What is the sample space S for flipping a coin until you get a head or 4 consecutive tails? Write down your sample space by listing the elements. (b) An experiment involves tossing a pair of dice, one green and one red, recording the numbers that come up. These are special dice. Each die has only 5 sides and are labeled with the numbers 1, 2,...
Let X equal the larger outcome when a pair of 6-sided dice are rolled.(a) Assuming the two dice are independent, show that the probability function of \(X\) is \(f(x)=\frac{2 x-1}{36} \quad x=1, \ldots, 6\)(b) Confirm that \(f(x)\) is a probability function.(c) Find the mean of \(X\).(d) Can you generalise \(E(X)\) to a pair of fair \(m\) -sided dice?\(\left[\right.\) Hint: recall that \(\sum_{i=1}^{n} i=n(n+1) / 2\) and \(\left.\sum_{i=1}^{n} i^{2}=n(n+1)(2 n+1) / 6\right]\)
1.3 Let X є {-1, +1} denote the outcome of an toss of an unbiased coin. (That is, Pr(X +1]-Pr[X-_1] = 1/2.) say the coin in tossed 1000 times independently, and the correspoinding outcomes are denoted by X1,... , X1000 Give a good estimate of the chance that the average of the 1000 tosses exceeds the value 101 That is, give the best possible value of a, such that Pr(x, + X1000) > 10] 〈 α.
1. Consider a discrete random variable, X, where the outcome of this random variable is determined by throwing a 6-sided die. X takes on integer values 1,2,…,6. The die is fair. That is, P(X=1)= P(X=2)=…= P(X=6). i. Draw the probability distribution function for this random variable. Carefully label the graph. ii. Draw the cumulative distribution function for X. iii. Calculate the following: P(X=4) P(X≠5) P(X=1 or X=6) P(X4) E(X) Var(X) sd(X) iv. Consider the random variable Y where the outcome...
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, ...}....
all questions please
1. (a) What is the sample space S for flipping a coin until you get a head or 4 consecutive tails? Write down your sample space by listing the elements (b) An experiment involves tossing a pair of dice, one green and one red, recording the numbers that come up. These are special dice. Each die has only 5 sides and are labeled with the numbers 1, 2, 3, 4, 5. Let r be the outcome on...
#5. Suppose we roll three tetrahedral dice that have 1, 2, 3, and 4 on their four sides. Find the probability distribution for the sum of the three sides.
3.Find the probability of throwing a sum of 2 at least 5 times in 9 throws of a pair of fair dice. 2.The P-value for a two sided test of the null hypothesis ?0:?=12H0:μ=12 is 0.073. (a) Does the 95% confidence interval include the value of 1212? (Type Yes or No): (b) Does the 90% confidence interval include the value of 1212? (Type Yes or No):
Problem 1.12. Let S21-{1, 2, 3, 4, 5, 6} and Op-{H. Т). Let X : 210,1 and Y 22 -» f0,1} be such that X(1)- X(3)-X(5)- 0. X(2) = X(4) = X(6) = 1, y(T) = 0, and y(H) = 1. Let P be the probability measure on 21 such that P ()1/15, P 2 2/15, probability measure on 22 with P2(T 1/3 and P2(H) 2/3. Prove that the distribution of X under P is the same as the distribution...