I was wondering how to calculate to get P(X >= 1/2, Y >=
1/2) = 1/4 in this example
thank you so much
volume between f(x, y) and A. Y) = A) = S SAf(x,y) dzdy. P(A) is the In this case, f(x, y) is called the joint pdf of (X,Y). Think of f(x, y) dx dy = P(x < X < x + dx,y<Y <y+dy). It is easy to see how all of this generalizes the one-dimensional pdf, f(x). Example: Choose a point (X, Y) at random in the interior of the circle inscribed in the unit square, i.e., C = (x - 2)² + (y - 3)²1. Since the area of the circle is 7/4, and we are selecting a point uniformly in that area, the joint pdf of (X,Y) is < f(x, y) = {: 4/π if (x, y) = C otherwise. 0 We can use this formulation to calculate probabilities. For instance, P(X ≥ 1/2, Y≥ 1/2) = √1/2 √1/25 f(x, y) dx dy JJ21/2.121/2.(2.1) C (4/π) dx dy , (x,y) EC = 1/4, where we just used a symmetry argument rather than attempt to formally integrate (which looks messier than it actually is). Application: Toss n darts randomly into the unit square. The probability that any individual dart will land in the circle is π/4. It stands to reason that the proportion of darts, pn, that land in the circle will be approximately 7/4. So you can use 4pm to estimate ! For instance, if we toss 1000 darts and 752 land in the is 4/752/1000) = 3.08. 0 =
volume between f(x, y) and A. Y) = A) = S SAf(x,y) dzdy. P(A) is the In this case, f(x, y) is called the joint pdf of (X
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volume between f(x, y) and A. Y) = A) = S SAf(x,y) dzdy. P(A) is the In this case, f(x, y) is called the joint pdf of (X
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