Please answer asap 1(b). The integral of the p.d.f. as displayed over the support is 2; the x-axis should be scaled down by 1/2 (so the vertex should (1,3/4) instead of (1,3/2) as displayed). Thank You
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q1
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1(b). The integral of the
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- Prob. 3 Let X be a random variable with cumulative distribution function (cdf) given by (1-e-x², x ≥ 0 ={1,- x<0 Find the probability that the random variable X falls within one standard deviation of its mean. Fx (x) =6) There are many engineering properties which cannot be negative, and so cannot be modeled using a normal distribution (since the normal distribution always has some probability of being negative). One such engineering property is the tensile strength of glue – it doesn’t make sense that a glue’s tensile strength would be negative. A common non-negative distribution used in engineering models is the lognormal, which is strictly non-negative and has a simple relationship with the normal distribution. Suppose that a particular type of glue is is lognormally distributed with mean 10 MPa and coefficient of variation 25%. If a random sample of this glue is tested, a) What is the probability that its tensile strength will lie between 6 and 12 MPa? thglue’s design tensile strength? (Note: the 10th percentile is the value, x10, such that b) Suppose that the design tensile strength of this glue is its 10 percentile. What is this ?? PX<x10 =0.1)If X is a Poisson variable such that P(X =2) = 9P(X= 4) + 90P(X = 6), find the mean and variance of X.
- 6. Find the mean and variance of fx (x) = 2e eA* la.2...) (x) = deEX7.8) Let Y be a random variable having a uniform normal distribution such that Y U(2,5) 2 Find the variance of random variable Y.3. Let Y be the number of speeding tickets a YSU student got last year. Suppose Y has probabilitymass function (PMF)y 0 1 2 3fY (y) 0.12 0.13 0.33 0.42(a) What is the probability a YSU student got exactly one ticket?(b) What is the probability a YSU student got at least one ticket?(c) Compute µY , the mean of Y .(d) Find the variance and standard deviation of Y .(e) What is the probability that Y exceeds its mean value?
- Example 4: Suppose that X,, X2,...,X, denotes a random sample from a Poison distribution with mean 2. Find the moment estimator of 2.The number of customers visiting a store during a day is a random variable with mean EX = 100 and variance Var(X) = 225. 1. Using Chebyshev's inequality, find an upper bound for having more than 120 or less than 80 customers in a day. That is, find an upper bound on P(X ≤ 80 or X ≥ 120). 2. Using the one-sided Chebyshev inequality (Problem 21), find an upper bound for having more than 120 customers in a day.If X is a Poisson variable such that P(X = 2) = 9P(X = 4) +90 P(X = 6), find the mean and variance of X.
- "Time headway" in traffic flow is the elapsed time between the time that one car finishes passing a fixed point and the instant that the next car begins to pass that point. Let X = the time headway for two randomly chosen consecutive cars on a freeway during a period of heavy flow (sec). Suppose that in a particular traffic environment, the distribution of time headway has the following form. x >1 f(x) =10 xs1 (a) Determine the value of k for which f(x) is a legitimate pdf. (b) Obtain the cumulative distribution function. x> 1 F(x) = xs1 (c) Use the cdf from (b) to determine the probability that headway exceeds 2 sec. (Round your answer to four decimal places.) Use the cdf from (b) to determine the probability that headway is between 2 and 3 sec. (Round your answer to four decimal places.).If the variance of a Poison variate is 3. Find the probability that, ne. (1) X = 0 (ii) 1sx<4 eor (iii) 02. Suppose the distribution of Y given X = x is a normal random variable with mean x and variance x². And X follows an uniform distribution on (0,1) (a) Find E(XY) (b) Let U = X, V = Y/X. Show that U and V are independentSEE MORE QUESTIONS