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Fundamentals of Probability and Statistics for Engineers

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220 <strong>Fundamentals</strong> <strong>of</strong> <strong>Probability</strong> <strong>and</strong> <strong>Statistics</strong> <strong>for</strong> <strong>Engineers</strong>The parameter n is generally referred to as the degrees <strong>of</strong> freedom. The utility <strong>of</strong>this distribution arises from the fact that a sum <strong>of</strong> the squares <strong>of</strong> n independentst<strong>and</strong>ardized normal r<strong>and</strong>om variables has a 2 distribution with n degrees <strong>of</strong>freedom; that is, if U 1 ,U 2 ,..., <strong>and</strong> U n are independent <strong>and</strong> distributed asN(0, 1), the sumX ˆ U 2 1 ‡ U2 2 ‡‡U2 n…7:68†has a 2 distribution with n degrees <strong>of</strong> freedom. One can verify this statementby determining the characteristic function <strong>of</strong> each Uj2 (see Example 5.7, page132) <strong>and</strong> using the method <strong>of</strong> characteristic functions as discussed in Section 4.5<strong>for</strong> sums <strong>of</strong> independent r<strong>and</strong>om variables.Because <strong>of</strong> this relationship, the 2 distribution is one <strong>of</strong> our main tools inthe area <strong>of</strong> statistical inference <strong>and</strong> hypothesis testing. These applications aredetailed in Chapter 10.f X (x)0.80.6n = 10.4n = 20.2n = 4n = 60.00 2 4 6 8 10 12xFigure 7.12 The 2 distribution <strong>for</strong> n ˆ 1, n ˆ 2, n ˆ 4, <strong>and</strong> n ˆ 6TLFeBOOK

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