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10. Explain in words, and words only, the following properties of a cumulative density function (CDF)...
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4. Let X be a random variable with the following cumulative distribution function (CDF): y <0 F(y) (a) What's P(X 2)? b) What's P(X > 2)? c) What's P(0.5<X 2.5)? (d) What's P(X 1)? (e) Let q be a number such that F()-0.6. What's q?
Let X be a random variable with the following cumulative distribution function (CDF): y<0 (a) What's P(X < 2)? (b) What's P(X > 2)? c)What's P(0.5 X < 2.5)? (d) What's P(X 1)? (e) Let q be a number such that F(0.6. What's q?
Problem 6. Consider a random variable X whose cumulative distribution function (cdf) is given by 0 0.1 0.4 0.5 0.5 + q if -2 f 0 r< 2.2 if 2.2<a<3 If 3 < x < 4 We are also told that P(X > 3) = 0.1. (a) What is q? (b) Compute P(X2 -2> 2) (c) What is p(0)? What is p(1)? What is p(P(X S0)? (Here, p(.) denotes the probability mass function (pmf) for X) (d) Sketch a plot...
Find the density function of Y2x+8 9. Let R have probability mass function (pmf) pr)-1/8 for r1,8 Find (I)the cumulative distribution function (cdf) of R; (2)P(R>5): (S)EI(R-3)(R-)) (6)Var(R 10 Suppose the density function of a random variable X is f(x)sige 2- x > 0, where σ>0 is constant. Find E(X) and D()
How to get the cdf when y>x>0? Thanks
6. The joint probability density function (pdf) of (X, Y) is given by 0y<oo, elsewhere. fxr, y) (a) Find the cumulative distribution function of (X, Y) (b) Evaluate P(Y < X2) (c) Derive the pdf of X and then compute the mean and variance of X (d) Find the pdf of Y and compute the mean and variance of Y (e) Calculate the conditional pdf of Y given X (f) Compute the...
5. (12 pt, 3 each) The empirical cumulative distribution function (CDF) of a sample z=zi, . . . , zmis defined by The sum in the definition counts the number of data points that are less than or equal to t. Thus F(t) is the fraction of data points that are less then or equal to t. Suppose that r has four points: -3,-1, -1, and 5 a) Find the following values of the empirical CDF by using the formula...
2. Explain in words, and words only, the following properties of expected values. NOTE: X and Y are random variables and k is a constant. (a) E(k) = k (b) E(X+Y) = E(X) + E(Y) (c) E(X/Y) + E(X)/E(Y) (d) E(X+Y) E(X)*E(Y) (unless what?) (e) E(X2) # (E(X)]? (1) E(kX) = E(X) 3. For random variable X with mean H. variance is defined var(X) = Ef(X-M.)'. Show how variance can be expressed only in terms of E(X) and E(X). 4....
Consider the cumulative distribution function (cdf)F(y) =0, y≤0,y2,0< y≤1,11≤y. (a) Find E(Y) ifYhas this cdf. (b) Find P(Y >1/3|Y≤2/3) ifYhas this cdf. (c) SupposeY1andY2are a random sample from this distribution. FindP(Y1≤1/2,Y2>1/2).
5. Let the joint cumulative density function of random variables X and Y be given by for z 0, y >0. (Note: Fxy(x, y)-0 outside this domain.) (a) Find P(X S2,Y (b) Find P(X5). (c) Find P(2 <Y s6). (d) Find the joint probability density function f(x, y). Show that your answer satisfies the S 2). two defining properties of a density. (e) Are X and Y independent? Why or why not?
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10: A certain continuous distribution has cumulative distribution function (CDF) given by F(r) 0, <0 where θ is an unknown parameter, θ > 0. (i) Find (a) the p.d.f., (b) the mean and (e) the variance of this distribution. (ii) Suppose that X (Xi, X2, Xn) is a random sample from this distribu- tion and let Y max(Xi, XXn). Find the CDF and p.d.f. of Y. Hence find the value of a for which EloY)