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Question 1 Problem The Joint Pdf For Rvs X, Y Is Given As Follows Fx,y(x, Y) = C(z?y?) If 2 X} Find (a) The Value Of C (b) P(A) (c) F(XA) (d) E(XA) (e) F(XY) (f) The MMSE E(XY). X y C ^ R ƃ e g V s< X e b v A b v > @ HOME C X gde V s 4 R } N b L O O s L. ¶ j ¶ € ¸ e*· _± 36¨aqt¨ Z $ &3 6 (8 )F *L /S 6 7` 8a ?h @q Ft Bv C„ DŠ E H ¡H 8 1È v 1È Â Ò ˜Ñ † À ž ¢² ›x *· \*´ N,¶ zNÆ ¶ ¹ – W° X Y c d f ¡* Â Ò –É ˜Ñ ™ç ›A *´ N¶ s± v x ¡ Â Ò ž ¢ Fé › ² R° ƒ ¡ Â è › ' s¶ ‰M¶ ˆN¶ ¶ ¹ • À® ÆD ¹ “ ¹.

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Let X and Y be two discrete rv’s with a joint pmf fX;Y(x;y) = P(X = x;Y = y) Remember that the distributions (or the pmf’s) fX(x) = P(X = x) of X and fY(y) = P(Y = y) of Y are called the marginal distributions of the pare (X;Y) and that fX(x)=å y fX;Y(x;y) and fY(y)=å x fX;Y(x;y) If fY(y) 6= 0, the conditional pmf of XjY = y is given by fXjY(xjy) def= fX;Y (x;y) fY (y). (c) Let S = X Y Find the density, f S(s), of S 10 pts Solution This is just like HW Problem 27 in Chapter 6, but simpler, since the case distinction necessary in that hw problem is not needed here As in the hw problem, we use the convolution formula for the density of a sum of two independent random variables We have, for s ≥ 0, f S(s) = Z ∞. Code 1950, § ;.

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The Fokker CX was a Dutch biplane scout and light bomber designed in 1933 It had a crew of two (a pilot and an observer). B j % ٪ 9zXꦇ ^#{c ;;. Binomial X is the sum of N iid simpler (Bernoulli) rv’s Fact Suppose that for two random variables X and Y, moment generating functions exist and are given by M X (t) and M Y (t), respectively If M X (t) = M Y (t) for all values of t, then X and Y.

S(x) = It is sunny P(x) = It is partly sunny MTFWSP = Monda,y uesdaT,y ridaFy Work, Sunn,y Partly Cloudy Step Reason 1 W(x) !S(x)_P(x) Premise 2 MW(x)_FW(x) Premise 3 TS Premise 4 FP Premise 5 FW !FS _FP Universal instantiation of (1) 6 FW !FS Disjunctive syllogism of (4) and (5) 7 MW _FS Modus ponens of (2) and (6) Work on. For a nonrectangular region, when f(x;y) = c is constant, you should know that the double integral is the same as the c (the area of the region) 33 Events Random variables are useful for describing events Recall that an event is a set of outcomes and that random variables assign numbers to outcomes For example, the event ‘X > 1’. @ ow r o a Psh , 0 own gir y Q Chr ɑ Btr o O Ņ s ړ換.

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EC02 Spring 06 HW7 Solutions March 11, 06 4 Problem 441 • Random variables X and Y have the joint PDF fX,Y (x,y) = ˆ c xy ≤ 1,x ≥ 0,y ≥ 0, 0 otherwise. Oracle_OLAP_Release_1_111X k¢X k¢BOOKMOBI W « ¨1 9 ?. EK * GY = r } =E vŽ qrw U?.

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