If X is a continuous random variable, argue that P(x1 < X < x2) = P(x1 < X < x2) = P(x1 < X < x2) = P(x1 < X < x2). Because in the integral / f(x) dx the functionf(x) in any of the endpoints x and x2 is always equal to zero, all the probabilities listed are equal. These probabilities are not equal. O Because the probabilities P(X = x1), P(X = x2) are approximately equal to zero, all the probabilities listed are equal. Because the probabilities P(X = x1) = P(X = x2) = 0, all the probabilities listed are equal. %3D
If X is a continuous random variable, argue that P(x1 < X < x2) = P(x1 < X < x2) = P(x1 < X < x2) = P(x1 < X < x2). Because in the integral / f(x) dx the functionf(x) in any of the endpoints x and x2 is always equal to zero, all the probabilities listed are equal. These probabilities are not equal. O Because the probabilities P(X = x1), P(X = x2) are approximately equal to zero, all the probabilities listed are equal. Because the probabilities P(X = x1) = P(X = x2) = 0, all the probabilities listed are equal. %3D
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter9: Systems Of Equations And Inequalities
Section: Chapter Questions
Problem 52RE
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