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A large auto dealership keeps track of sales and leases agreements made during each hour of the day. Let X= the number of cars sold and Y= the number of cars leased during the first hour of business on a randomly selected Friday. Based on previous records, the probability distributions of Xand Yare as follows:

Define D=X-Y.

Compute σDassuming that XandY are independent. Show your work

Short Answer

Expert verified

From the given information, the standard deviation is1.14

Step by step solution

01

Given Information

It is given in the question that,

μχ=1.1,σχ=0.943

μγ=0.7,σγ=0.64

D=χ-γ
02

Step 2: Explanation

The standard deviation can be calculated as:

σD=σX2+σY2=0.9432+0.642=1.2998=1.14

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Most popular questions from this chapter

20. Size of American households In government data, a household consists of all occupants of a dwelling unit, while a family consists of two or more persons who live together and are related by blood or marriage. So all families form households, but some households are not families. Here are the distributions of household size and family size in the United States:

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Kids and toys Refer to Exercise 4. Calculate and interpret the standard deviation of the random variable X. Show your work.

A large auto dealership keeps track of sales and leases agreements made during each hour of the day. Let χ= the number of cars sold and γ= the number of cars leased during the first hour of business on a randomly selected Friday. Based on previous records, the probability distributions of χand γare as follows:

DefineD=X-Y

Find and interpret μD.

Exercises 47 and 48 refer to the following setting. Two independent random variables Xand Yhave the probability distributions, means, and standard deviations shown.

47. Sum Let the random variableT=X+Y.
(a) Find all possible values of T. Compute the probability that Ttakes each of these values. Summarize the probability distribution ofT in a table.
(b) Show that the mean of Tis equal toμX+μY.
(c) Confirm that the variance of T is equal to σX2+σY2. Show that σTσX+σY.

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