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Unformatted text preview: ≤ ≤ 109 P (103 ≤ ≤ 109) = P (1.44 ≤ z ≤ 1.44) = .9251  .0749 = .8502( 4pts ) 46. ( Total 15pts ) μ = 41,979 σ = 5000 a. ( 2pts ) b. P (> 41,979) = P ( z > 0) = .50( 4pts ) c. P ( z ≤ 1.41) = .9207 P ( z < 1.41) = .0793 P (40,979 ≤ ≤ 42,979) = P (1.41 ≤ z ≤ 1.41) = .9207  .0793 = .8414( 4pts ) d. P ( z ≤ 2.00) = .9772 P ( z < 2.00) = .0228 P (40,979 ≤ ≤ 42,979) = P (2 ≤ z ≤ 2) = .9772  .0228 = .9544( 5pts ) 37. ( Total 15pts ) a. Normal distribution E () = .50 ( 2pts ) b. P ( z ≤ 1.94) = .9738 P ( z < 1.94) = .0262 P (.46 ≤≤ .54) = .9738  .0262 = .9476 ( 4pts ) c. P ( z ≤ 1.46) = .9279 P ( z < 1.46) = .0721 P (.47 ≤≤ .53) = .9279  .0721 = .8558 ( 4pts ) d. P ( z ≤ .97) = .8340 P ( z < .97) = .1660 P (.48 ≤≤ .52) = .8340  .1660 = .6680 ( 5pts )...
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 Spring '08
 Priya
 pts, 5 pts, 2 pts, 4 pts, $10,000

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