MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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Find E(X^2) when random variable X has
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- Iron plates are required to have a certain thickness but each plate produced will differ slightly from each other due to properties of the material and uncertainties in the behaviour of the machines that make them. Let X be the plate thickness in mm of plates produced by a given machine. Using the machine's default setting, X follows a normal distribution with mean 12mm and standard deviation 1.5mm (a) What percentage of plates should be expected to be thinner than 10 mm? (b) What percentage of plates should be expected to be thicker than 15mm?arrow_forwardThe random variable X has an exponential distribution: X ~ Exponential(0.2). Find the following: (a) P(2 < X < 10) (b) P(X > 6) (c) Find the 70th percentile for Xarrow_forwardthe standard normal distribution is just a normal distribution with μ = 0 and σ^2 = 1. it turns out that if we standardize a normal random variable X with parameters μ, σ in the following way z = x-μ/σ the expected value of the transformation is 0 and variance is 1. so if Z = 0.2, when μ=3 and σ= 0.2, what is the normal random variable X has value?arrow_forward
- Suppose a random sample of 25 students is selected from a community college where the scores on the final exam (out of 125 points) are normally distributed having mean equal to 112 and standard deviation equal to 4. Find the probability that the sample mean deviates from the population mean µ = 112 by no more than 3.arrow_forwardA researcher that wanted to estimate the expectation AY of a random variable Y got three independent observations, Y, Y, Y The researcher knows the value o, of the variance of Y and is considering the following estimators: Pi = 4) Yi + (+) ¥ Py = () Yn + (;) ¥½ + () Y½ in (}) Yi + (}) ¥z + (() %D Which of the following is correct? ONone of the above Ois an unbiased estimator of l and it has the smallest variance of the three estimators. Ois an unbiased estimator of µ and it has the smallest variance of the three estimators. O and i, are both unbiased estimators of fl and Var (ſîz) < Var (îì3). is an unbiased estimator of µ and it has the smallest variance of the three estimators.arrow_forwardTrue or False: For an exponentially distributed random variable, x, P(x) = 1/(b - a).arrow_forward
- I have a probability distribution consisting of (x, p(x)): (-3, 0.1), (-2, 0.2), (-1, 0.3), (0, 0.05). The probabilities obviously do not sum to 1. How do I find <x> (average), <x2> (the second moment), <sigmax2> (the variance)?arrow_forwardLet Y be a random variable with the mgfM(t) = .35e^(−4t) + .1 + .25e^(2t) + .3e^(4t).(a) What is the pmf of Y?(b) Calculate the variance of Y directly from the pmf you determined in part (a).(c) Calculate E[Y^4] directly from the mgf.arrow_forwardQ13 b and c pls, thank you. Mean = 1/500 = 0.002var(x) = 1/500^2 = 0.000004arrow_forward
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