Homework Answers
expected value = sum of product of P(x)*X
=0.1*10+0.3*11+0.4*12+0.2*13 = 11.7
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Question 11 1 pts The following is the Probability Distribution Function for a discrete Random Variable....
Question 10 1 pts The following is the Probability Distribution Function for a discrete Random Variable....
Question 10 1 pts The following is the Probability Distribution Function for a discrete Random Variable. What is the expected value of x? HQ8 P(x) 100.1 0.3 0.4 0.2
Discrete Random Variable. The random variable x has the discrete probability distribution shown here: x -2...
Discrete Random Variable. The random variable x has the discrete probability distribution shown here: x -2 -1 0 1 2 p(x) 0.1 0.15 0.4 0.3 0.05 Find P(-1<=x<=1) Find P(x<2) Find the expected value (mean) of this discrete random variable. Find the variance of this discrete random variable
5 Consider a discrete random variable X with the probability mass function rp(x) Consider Y =...
5 Consider a discrete random variable X with the probability mass function rp(x) Consider Y = g( X ) =- 0.2 0.4 0.3 0.1 a) Find the probability distribution of Y. b Find the expected value of Y, E(Y). Does μ Y equal to g(Hy )? 4
5.Consider a discrete random variable X with the probability mass function xp(x) Consider Y-g(X) 0.2 0.4...
5.Consider a discrete random variable X with the probability mass function xp(x) Consider Y-g(X) 0.2 0.4 0.3 0.1 a)Find the probability distribution of Y b) Find the expected value of Y, E(Y) Does μ Y equal to g(μx)? 4
1. Which of the following is a probability mass function for some probability distribution p with...
1. Which of the following is a probability mass function for some probability distribution p with domain {1,2,3,4}? P(1)=0.1,P(2)=0.2,P(3)=0.3,P(4)=0.4 P(1)=0.1,P(2)=0.1,P(3)=0.3,P(4)=0.4 P(1)=0.2,P(2)=0.4,P(3)=0.3,P(4)=0.4 P(1)=-0.5,P(2)=0.8,P(3)=0.5,P(4)=0.2 2. Let X be the random variable where X is the number of heads after flipping a fair coin 50 times. What is the mean of X? 3. Suppose that one flips a fair coin 6 times. What is the probability of getting at most 2 heads? 4. Which of the following is a discrete probability distribution and...
The random variable x has the following discrete probability distribution. Complete parts a through f Question...
The random variable x has the following discrete probability
distribution. Complete parts a through f
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one question Let X be a (discrete) random variable with probability function (pdf) given by the...
one question
Let X be a (discrete) random variable with probability function (pdf) given by the table X P(x) 2 0.2 3 0.1 4 0.3 5 0.2 6 0.2 Compute Mx= Answer: ox Give answer to two decimal places. Answer:
The random variable x has the discrete probability distribution shown here: x -2 -1 0 1...
The random variable x has the discrete probability distribution shown here: x -2 -1 0 1 2 p(x) 0.1 0.15 0.4 0.3 0.05 1) Find P(x<2) Please use up to 4 decimal places and use the proper uses of rounding. Excel can be a helpful calculator in these problems. 2) Find the expected value (mean) of this discrete random variable. Please use up to 4 decimal places and use the proper rules of rounding. Excel can be a helpful calculator...
taiation in probability theory and statistics Variant 13 1. Discrete distribution for X is given by...
taiation in probability theory and statistics Variant 13 1. Discrete distribution for X is given by the following table: Probability p Value X 0.2 -10 0.3 10 0.4 30 0.1 50 Find distribution function fa) and median Me@. Calculate mathematical expectation (the mean) Mx), variance (dispersion) DA), standard error σ(X), asymmetry coefficient As(X) and excess Ex(X)
taiation in probability theory and statistics Variant 13 1. Discrete distribution for X is given by...
taiation in probability theory and statistics Variant 13 1. Discrete distribution for X is given by the following table: Probability p Value X 0.2 -10 0.3 10 0.4 30 0.1 50 Find distribution function fa) and median Me@. Calculate mathematical expectation (the mean) Mx), variance (dispersion) DA), standard error σ(X), asymmetry coefficient As(X) and excess Ex(X)
Question 10 1 pts The following is the Probability Distribution Function for a discrete Random Variable. What is the expected value of x? HQ8 P(x) 100.1 0.3 0.4 0.2
5 Consider a discrete random variable X with the probability mass function rp(x) Consider Y = g( X ) =- 0.2 0.4 0.3 0.1 a) Find the probability distribution of Y. b Find the expected value of Y, E(Y). Does μ Y equal to g(Hy )? 4
5.Consider a discrete random variable X with the probability mass function xp(x) Consider Y-g(X) 0.2 0.4 0.3 0.1 a)Find the probability distribution of Y b) Find the expected value of Y, E(Y) Does μ Y equal to g(μx)? 4
The random variable x has the following discrete probability
distribution. Complete parts a through f
Question Help O The random variable x has the following discrete probability distribution. Complete parts a through f. P(x) 622 8 0.4 0.2 9 0.2 0.1 a. List the values x may assume. DODO. (Use ascending order.) b. What value of x is most probable? c. Display the probability distribution as a graph. Choose the correct graph below. OA. OB Oc. OD 071 LUH >...
one question
Let X be a (discrete) random variable with probability function (pdf) given by the table X P(x) 2 0.2 3 0.1 4 0.3 5 0.2 6 0.2 Compute Mx= Answer: ox Give answer to two decimal places. Answer:
taiation in probability theory and statistics Variant 13 1. Discrete distribution for X is given by the following table: Probability p Value X 0.2 -10 0.3 10 0.4 30 0.1 50 Find distribution function fa) and median Me@. Calculate mathematical expectation (the mean) Mx), variance (dispersion) DA), standard error σ(X), asymmetry coefficient As(X) and excess Ex(X)
taiation in probability theory and statistics Variant 13 1. Discrete distribution for X is given by the following table: Probability p Value X 0.2 -10 0.3 10 0.4 30 0.1 50 Find distribution function fa) and median Me@. Calculate mathematical expectation (the mean) Mx), variance (dispersion) DA), standard error σ(X), asymmetry coefficient As(X) and excess Ex(X)
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