1. Suppose that X and Y have the following joint probability distribution Y 1 2 3 1 0.05 0.05 0.1 0.05 0.1 0.35 3 0.2 0.1 A. Evaluate the marginal distribution of X B. Evaluate the marginal distribution of Y C. P (x= 2) & P(y=2)
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- Suppose you were given this Joint Probability Distribution: y = number of times city name is stated 1 Find the conditional mean and variance of Y|3 Mean = Blank 1 Variance = Blank 2 x = number of bars of signal strength 2 3 4 0.15 0.1 0.05 3 0.02 0.1 0.05 20.02 0.03 0.2 1 0.01 0.02 0.25 0.2 0.25 0.55 Marginal probability distribution of X Marginal probability distribution of Y 0.3 0.17 0.25 0.28Compute the expected value for X. X 1 2 0 0.10 0.12 Y 1 0.05 0.10 2 0.02 0.16 3 0.06 0.11 0.28Suppose that X follows a binomial distribution with n = 100 and p = 0.1. If F(x) is the cumulative distribution function of the Standard Normal distribution. Then using the Normal approximation, the probability P(X = 16) is obtained by O a. F(2.17) - F(1.83) O b. F(1.83) - F(2.17) O c. F(16.5) + F(15.5) O d. F(17.0) - F(15.0)
- Q7. A random variable X with a mean of 2.5 follows an exponential distribution. Find the following probabilities: (a) P(X > 2.5), (b) P(X xo) = 0.05.12. i. State Central limit theorem and tell what is the main theme of it. ii. Show that if the random variables (X, Y) follow the probability density of a bivariate normal distribution and if the correlation p = 0, X and Y are independent. (Show that f(x, y) = g(x) h(y))7. Assume that X and Y have a bivariate normal distribution having means 14.l and 1.3, and standard deviations 2.5 and 0.1, respectively, with correlation coefficient 0.8. Find P(Y >1.4|X =15) and P(X >15|Y = 1.4).
- Q4. Assume that daily evaporation rates (E) have a uniform distribution with a = 0 and b = 0.35 in/day. Determine the following probabilities: (a) P(E > 0.1); (b) P(E < 0.22); and (c) P(E = 0.2).Which of the following tables represents a valid discrete probability distribution? X P(X=x) X P(X=X) X P(X=x) X P(X=x) 5 0.51 1 0.23 0 10 15 0.03 0.03 3 0.03 1 0.33 0.15 3 0.24 5 0.15 2 0.27 20 0.39 7 9 0.17 0.19 3 0.19 25 30 0.15 0.01 12 11 0.02 4 5 1.01 0.06 6 9 15 18 0.22 0.23 0.12 -0.03 0.43You take a simple random sample of size 25 from a very large population in which the true proportioni p=0.1. Which statement below best describes what you know about the sampling distribution of p? (0.1)(0.9) (a) H,-0.1; o,- the distribution is skewed right. 25 (0.1)(0.9). 25 (b) H,=0.1; o,=. ; the distribution is skewed left. (0.1)(0.9). (c) ,=0.1; o,= the distribution is approximately Normal. %3D 25 (0.1)(0.9) (d) , the distribution is not approximately Normal. 25 =0.1; we cannot use the formula o, (0.1)(0.9) ; the distribution is approximately Normal. 25 (e) =0.1; we cannot use the formula o,
- The joint probability distribution of x and y is as follows: У p(x, y) 1 .10 .04 .02 1 .08 .20 .06 .06 .14 .30 Q1. What is the value of the marginal probability P(x = 1)? %D Q2. What is the value of the marginal probability P(y = 1)?1. The number of cellphones sold per day at a local cellphone shop, along with its corresponding probabilities, is shown in the table. Find the mean, variance and standard deviation of the probability distribution P(X) x P(x) x2 P(x) 1 0.15 2 0.35 3 0.40 4. 0.10 u = =x2 • P(x) = 2. Find the mean, variance and standard deviation of the probability distribution of the random variable X, which can take only the values of 1, 2, 3 and 4, given that P(1) = P(2) = 5 P(3) =; and P(4) = 5 %3D %3D %3D P(X) x P(x) x2 P(x) u = u = Ex2 • P(x) =Assume that daily evaporation rates (E) have a uniform distribution with a = 0 and b = 0.35 inches/day. Determine the following probabilities:Pr (E ≥0.1) Pr (E ≤ 0.22) Pr (E = 0.2) Pr (0.05 ≤ E ≤ 0.15