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Let
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Probability and Statistical Inference (9th Edition)
- Repeat Example 5 when microphone A receives the sound 4 seconds before microphone B.arrow_forwardRecall that the general form of a logistic equation for a population is given by P(t)=c1+aebt , such that the initial population at time t=0 is P(0)=P0. Show algebraically that cP(t)P(t)=cP0P0ebt .arrow_forwardIf X is a random variable with pdf f(x) = 2x − 2 where x = (1, 2), find the variance of Y = 2X - 3.arrow_forward
- (1) Let X = b(16,- find E(4-3x) and distribution function.arrow_forwardIf random variable x is exponentially-distributed with mean A =2, calculate P(X>3): 2 2e-2x x = 3 3 2 2e-2x X = 0 | 2e-2x dx | 3e-3*dx 2 3e-3x X = 2 .3 | 2e-2xdxarrow_forward(a) Let Y be a random variable distributed as X. Determine E(Y) in terms of r. (b) Let {X1, X2, . .. , Xn} be a random sample drawn from a normal distirbution with mean u and 1 variance o?. Denote S E-(X; – X)² as the sample standard deviation. Use the 1 n - result in part (a), or otherwise, to find E(S). (c) Find an unbiased estimator for the population standard deviation o.arrow_forward
- 7. Let M(t)=(1/6)et +(2/6)e²t+(3/6)e³t (Moment generating function of X) a. Find E(x) b. Find Variance (x) nisarrow_forwardSuppose X is a random variable, whose pdf is defined as follows: 2x = (²x) (u(x) - u(x − 3)) where u(x) is the unit step function. Determine the conditional pdf fx(x 1arrow_forward1.Let the PDF of X be given by F(x)=0.25exp(-0.25x),x>0.Show that E(x)=4 and var(x)=16. 2.Given that the random variable W is binomial distribution with b trials and success probability P is each trial and p(W=w)=h(w),show that (a).h(w)/h(w-1)=p(n-w+1)/(1-p),w>0 (b).E[W(W-1)]=n(n-1)P^2 (c).E(1/W+1)=1-(1-p)^n+1/(n+1)P.arrow_forward(b) Consider the generalised three-parameter beta distribution with pdf 121?x (1 – x)² [1- (1 – 2) x]5* fx (x) = 0arrow_forward#1. Suppose that X is a random variable with pdf: f(x) = (2x + 1)/6, 0 < x < 2. (a)Find the cdf . Give the complete cdf for any real value of x. (b)Find the mean and variance of X. (c)Verify that Chebyshev’s Theorem holds for k = 5/3. (d) Find P(0.10 < X < 0.50) using the cdf in (a).arrow_forwardLet X be a random variable with discrete pdf f(x) = x/8 if x = 1, 2, 5, and zero otherwise. Find: (a) E(X).arrow_forwardarrow_back_iosSEE MORE QUESTIONSarrow_forward_iosRecommended textbooks for you
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