STAT 3360 Homework Chapter 7

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Statistics Homework Chapter 7 Expected Value (mean) Ex=μ=x Pr(x) ⁡ Ec=c EX+c=EX+c EcX=cE(X) Covariance Variance Vx=σ2=x2Prx-μ2 Laws of Variance Standard Deviation σ=σ2 Laws of Expected Value Vc=0 VX+c=VX VcX=c2V(X) Sum of Two Variables COVx, y=σxy=xyPrx,y-μx μy Coefficient of Correlation Ex+y=Ex+E(y) Vx+y=Vx+Vy+2 COV(x, y) Mean and Variance of a Portfolio of Two Stocks ρ=COV(x, y)σx σy Factorials and Number of Combinations Binomial Probability ERp=w1ER1+w2ER2 VRp=w12VR1+w22VR2+2w1w2
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Statistics Homework Chapter 7 Expected Value (mean) Ex=μ=x Pr(x) ⁡ Ec=c EX+c=EX+c EcX=cE(X) Covariance Variance Vx=σ2=x2Prx-μ2 Laws of Variance Standard Deviation σ=σ2 Laws of Expected Value Vc=0 VX+c=VX VcX=c2V(X) Sum of Two Variables COVx, y=σxy=xyPrx,y-μx μy Coefficient of Correlation Ex+y=Ex+E(y) Vx+y=Vx+Vy+2 COV(x, y) Mean and Variance of a Portfolio of Two Stocks ρ=COV(x, y)σx σy Factorials and Number of Combinations Binomial Probability ERp=w1ER1+w2ER2 VRp=w12VR1+w22VR2+2w1w2 COV(R1, R2) =w12σ12+w22σ22+2w1w2ρ σ1 σ2 Pr(x)=nx px 1-pn-x ⁡ Mean and SD Cxn=nx=n!n-x!x! Poisson Probability μ=np σ=npq Where n is the total number of trials, p is the probability of success, and q is the probability of failure (1 – p) Prx=μxe-μx! 720 The number of Pizzas delivered to university students each month is a random variable with the following probability distribution x P(x ) 0 1 1 3 2 4 3 2 a Find the probability that a student has received delivery of two or more pizzas this month b Determine the mean and variance of the number of pizzas delivered to students each month 721 752 If the pizzeria makes a profit of 3 per pizza, determine the mean and variance of the profits per student The following distributions of X and Y have been developed If X and Y are independent, determine the joint probability distribution of X and Y x p(x ) 754 0 6 1 3 2 1 y p(y ) 1 7 2 3 After analyzing several months of sales data, the owner of an appliance store produced the following joint probability distribution of the number of refrigerators and stoves sold daily Stoves 0 1 2 a b c d e Refrigerators 0 1 2 08 14 12 09 17 13 05 18 04 Find the marginal probability distribution of the number of refrigerators sold daily Find the marginal probability distribution of the number of stoves sold daily Compute the mean and variance of the number of refrigerators sold daily Compute the mean and variance of the number of stoves sold daily Compute the covariance and the coefficient of correlation 792 A sign on the gas pumps of a chain of gasoline stations encourages customers to have their oil checked, claimed that one out of four cars needs to have oil added If this is true, what is the probability of the following events? a One out of the next four cars needs oil b Two out of the next eight cars needs oil c Three out of the next twelve cars needs oil A student majoring in accounting is trying to decide on the number of firms to which he should apply Given his work experience and grade, he can expect to receive a job offer from 70% of the firms to which he applies The student decides to apply to only four firms What is the probability that he receives no job offers? Most Internet service providers (ISPs) attempt to provide a large enough service so that customers seldom encounter a busy signal Suppose that the customers of one ISP encounter a busy signal 8% of the time During the week a customers of this ISP called 25 times What is the probability that she did not encounter any busy signals? 796 798 7130 An auditor is preparing for a physical count of inventory as a means of verifying its value Items counted are reconciled with a list prepared by the storeroom supervisor In one particular firm, 20% of the items counted cannot be reconciled without reviewing invoices The auditor selects 10 items Find the probability that 6 or more items cannot be reconciled • The number of computers sold during one day by a small store is a random variable X with the distribution, Pr(0)=04, Pr(1)=03, Pr(2)=02, Pr(3)=01 a Compute the probabilities Pr(X>1), Pr(X<1), Pr(0

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