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课程名称︰机率与统计 课程性质︰系订必修 课程教师︰锺嘉德 张时中 叶丙成 林茂昭 开课学院:电资学院 开课系所︰电机系 考试日期(年月日)︰97.6.19 考试时限(分钟):110 是否需发放奖励金:是,谢谢 (如未明确表示,则不予发放) 试题 : 1. Describe the Central Limit Theorem. (5%) 2. Suppose that X and Y are two independent zero mean Gaussian random varibles with variaces (σX)^2 and (σY)^2. (a) What is the joint probability density function of (X,Y)? (5%) (b) What is the probability density function of X-Y? (5%) 3. Suppose that X and Y are two zero mean Gaussian random varibles with covariances Cov[X,X]=(σX)^2 , Cov[X,Y]=σXY , and Cov[Y,Y]=(σY)^2. What is the probability density function of X+Y? (10%) 4. Consider two random variables X and Y. (a) Describe the condition that X and Y are uncorrelated implies that X and Y are independent. (5%) (b) Suppose Cov[X,Y]=0. Is it necessary that X and Y are independent? Please provide your reason. (5%) 5. Describe the condition that MAP test is equivalent to the maximum likeli- hood test. (5%) 6. Suppose that we know E[X]=μX in advance. Is n (1/n) Σ (Xi-μX)^2 i=1 an unbiased estimate of Var[X]? Prove your answer. (5%) 7. X and Y are two random variables with a joint probability density function as ┌cxy , 1≦x≦y≦2; f (x,y)=│ XY └0 , otherwise. (a) c=? (5%) (b) Are X and Y independent? Explain why. (5%) (c) Derive the conditional probability distribution function F (y|x). (5%) Y|X (d) Var[E[Y|X]]=? (5%) (e) Correlation coefficient ρ(X,Y)=? (5%) (f) Let U=X+Y and W=3X+4Y. Find the covariance matrix of [U W]'. (5%) 8. You are counting the numbers of buses, cars and bicycles passing by where you stand. Let KB, KC and Kb be the numbers you get during time [0,T], which are independent Poisson random varibles with parametersλB, λC and λb. (a) Prove that K=KB+KC+Kb is also a Poisson with parameterλ=λB+λC+λb. (Hint: Use moment generating function) (10%) (b) Let event A be the event that "when a vehicle passes by, it is a bicy- cle". P[A]=? (5%) 9. Let X be binomial random varible with parameters (n,p) and n=3. For the following hypothesis test Ho:p=1/2 vs Ha:p=2/3 we reject Ho as X=0 or 3. Please calculate α=the probability of making a type I error β=the probability of making a type II error. (10%) --



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