MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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- Piecewise pdf. Let random variable X have pdf 0 < x < 1, 2 – x, 1< x < 2, elsewhere. x, f(x) = 0, density, pdf f(x) probability, cdf F(x) = P(X < x) 0.75+ 0.75 - 0.50 + 0.50 0.25+ 0.25+ 2 2 3 X Figure 3.5: f(x) and F(x) (a) Expected value.arrow_forwardWind engineers have found that wind speed u (in meters per second) at a given location follows a Rayleigh distribution of the type W(v) = 32ve-1²/164 This means that at a given moment in time, the probability that v lies between a and b is equal to the shaded area in the following figure. W 0.1- 0.05 + a graph of W(v) b 20 →v (m/s) (a) Find the probability that v € [0, b]. (Express numbers in exact form. Use symbolic notation and fractions where needed. Give your answer in terms of b.)arrow_forwardOutcome a b c d e Probability 0.2 0.01 0.5 0.09 (a) P({a, c, e}) P({a, c, e}) = (b) P(E ∪ F), where E = {a, c, e} and F = {b, c, e} P(E ∪ F) = (c) P(E ′), where E is as in part (b) P(E ′) = (d) P(E ∩ F ), where E and F are as in part (b)arrow_forward
- Question 1 function given by Suppose that X and Y have a joint probability density if x, y ≥ 0 otherwise fx,y(x, y) = (a) Verify that fx,y is indeed a probability density function. (b) Find the marginal probability density function fx and state the name of the distribution of X. 7e-x-7y (c) Find the conditional probability density function fy|x=x- (d) Are the random variables X and Y independent? Justify your answer. (e) Let another probabilty density fx,y be given by Sce-(√+√y)²+2√y - {e fx.y (x, y) = if x ≥ y ≥0 otherwise Determine the normalization constant c in this case. Are X and Y statistically independent? Justify your answer.arrow_forwardSection: Probabilty Density Functionsarrow_forward
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