1)
Expected Number of Errors E(x) = sum of x*f(x)
E(x) = 0*0.05+1*0.30+2*0.40+3*0.15+4*0.10
E(x) = 1.95
2)
Variance V(x) = Sum of x^2*f(x)
V(x) = 0^2*0.05+1^2*0.30+2^2*0.40+3^2*0.15+4^2*0.10
V(x) = 4.85
SD = (V(x)^(1/2)
SD = (4.85)^(1/2)
SD = 2.20
3)
P(X>=3) = 1 - P(X<3)
P(X>=3) = 1 - P(X =0) - P(X =1) - P(X =2)
P(X>=3) = 1 - 0.05 - 0.30 - 0.40
P(X>=3) = 0.25
B1) The random variable Krepresents the number of typing errors per page in a student' dissertation,...
mcna Final Examination V1 Spring 2018-2019 Sction B Answer the auestions QUESTIONS-TOTAL 15 MARKS) B1) The randon variable 'represents the number of typing errors per page in a student's dissertation with the following probability distribution: SKI: 5 Marks) 0.05 0.30 2 0.40 4 0.10 1) Find the expected number of errors per page. 2) Find the variance and standard deviation of the random variable. 3) Find the following probability: P(X3) (2 Marks) (2 Marks) (I Marks) Page 4 of 10
number 5 please
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et be a random variable with the following probability distribution: Value of -2 0.15 -1 0.15 0 0.15 1 0.10 2 0.30 3 0.15 Find the expectation and variance of . (If necessary, consult a list of formulas.) E (x)= Var (X)=
3. From past experience, it is found that the number of typing errors made by Mary follows a Poisson distribution. The probability that there are no errors made on a randomly chosen page is 0.7788. (a) Find the mean and the standard deviation for the number of mistakes made on a page. (b) Determine the expected number of mistakes made on 8 randomly chosen pages. [3] (c) If 20 pages were randomly chosen, find...
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2. The random variable X, representing the number of errors per 100 lines of software code, has the following probability distribution: 2 f(x) 2 0.11 5 7 8 10 0.27 0.16 0.14 0.32 (c) Suppose g(X) = (3X – 1)2. Find E[9(X)] (a) Find E(X). (b) Find E(X). 3. Use the distribution from Problem 2. (a) Find the variance of X, V(X). (b) Find the standard deviation of X, SD(X). (c) Find V(-3X). (d) Explain why V(X)...
O RANDOM VARIABLES AND DISTRIBUTIONS Expectation and variance of a random variable Let X be a random variable with the following probability distribution: Value x of X P(X-) 0.35 0.40 0.10 0.15 10 0 10 20 Find the expectation E (X) and variance Var(X) of X. (If necessary, consult a list of formulas.) Var(x) -
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