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YOUR TURN 1 Repeat Example 1 for the probability density function
EXAMPLE 1 Expected Value and Variance
Find the expected value and variance of the random variable
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Calculus For The Life Sciences
- Q.1 The probability mass function for a discrete random variable X is defined as ((1+0)" (^) 0x; x = 0, 1, 2, 3, ..., n fx(x) = {(1 + 0; e. w. where > 0. Show that it is probability mass function. Find its mean and variance.arrow_forwardQuestion 1.2 Consider the function f (x) = (1/24(x^2 +1) 1 < or = x < or = 4) = (0 otherwise) Calculate P (x = 3) Calculate P (2 < or = x < or = 3) Question 1.3 Consider the function f (x) = (k - x/4 1 < or = x < or = 3) = (0 otherwise) which is being used as a probability density function for a continuous random variable x? a. Find the value of K b. Find P (x < or = 2.5)arrow_forwardand variance of X if the probability mass function is f(x) = ; ;)" , Find the moment generating function, mean x = 1, 2, 3, 4, ...arrow_forward
- If the probability density of X is given by f(x) =2x−3 for x > 10 elsewherecheck whether its mean and its variance exist.arrow_forwardA random variable X has a PDF f(x)=C(8*x−x^2) for 0<x<8, and is equal to 0 outside this range. (a) Find the value of the constant C (b) Find the CDF of X and use it to compute the probability that X≥4 (c) Calculate the mean and variance of Xarrow_forwardQ. 1 (i) Find moment generating functions (mgf) of the following probability distributions. (ii) Using mgf found in (i) above, find mean and variance. (i) fx(x;n,p) = {x)p*q"=*;_x= 0,1,2,-, n, 0; е. w. (e-^ax. x = 0,1,2,, (ii) fx(x; 2) = 0; x! е. W. 1 ( ii) fx (x; α, β) : r(a)ga x“-te¬x/B; 0 < x <∞ (iv) fx(x; ß) = e-x/B;0 < x< ∞ 1 (x-µ)²] (v) fx(x; µ, o) = To VER exp[- ;-00 < x< ∞ 2σ2 1 ( vi) fK (x; α, β) B(a,f) *"-(1 – x)*-1; 0 < x < 1 %3D Г(а)Г(В) where B(a,ß) = r(a+B) (vii) F<(x, a, f) = x«-lexp[-;)"]:0arrow_forwardQ5 Find the variance for the PDF px(x) = e-«/2, x > 0.arrow_forward3. 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?arrow_forwardLet X1, X2, ..., X„ be a random sample from a Uniform(0,0 +1) population with 0 > 0, *(4)"^( +1) be the median of the random sample. X where n is an even integer. Let M Find the probability density function of the median M. Find the expected value and variance of M.arrow_forwardarrow_back_iosarrow_forward_ios
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