Chap8f - Make sure that this STATISTICSbelow the In just...

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SD 0.28802 0.21436 = MED 0.49084 0.50798 = data 0 ⟨ ⟩ n 1 - 0.4985 = NSD j mean sdev j ⟨ ⟩ ( 29 = AD j mean absdev j ⟨ ⟩ ( 29 = absdev k j , dev k j , = sdev k j , dev k j , ( 29 2 = MED j 0.5 sortdata j ⟨ ⟩ ( 29 ceil 0.5 n 0.5 + ( ) 1 - sortdata j ⟨ ⟩ ( 29 floor 0.5 n 0.5 + ( ) 1 - + = dev j ⟨ ⟩ data j ⟨ ⟩ AVE j - = k 0 n 1 - .. = xmax max ww 0 ⟨ ⟩ ( 29 = sortdata j ⟨ ⟩ sort data j ⟨ ⟩ ( 29 = SD j stdev data j ⟨ ⟩ ( 29 = AVE j mean data j ⟨ ⟩ ( 29 = n length data 0 ⟨ ⟩ ( 29 = data ww = ww 1 ⟨ ⟩ ww 0 ⟨ ⟩ ww 1 ⟨ ⟩ + ( 29 2 = length int ( ) 21 = 0 0.2 0.4 0.6 0.8 1 30 40 50 60 70 freq j int j length freq ( ) 20 = freq hist int ww 0 ⟨ ⟩ , ( 29 = int j 1 + int j del + = j 0 c 1 - .. = del xmax xmin - ( ) c 1 - = int 0 xmin = c 20 = Geary 1.08304 1.03323 = Geary j AD j 0.79788NSD j ( 29 1 - = AD 0.24889 0.17671 = data 0 ⟨ ⟩ AVE 0 - ( 29 T data 1 ⟨ ⟩ AVE 1 - ( 29 data 0 ⟨ ⟩ AVE 0 - ( 29 data 1 ⟨ ⟩ AVE 1 - ( 29 0.72794 ( ) = corr data 0 ⟨ ⟩ data 1 ⟨ ⟩ , ( 29 0.72794 = 1 12 0.08333 = AVE 0.4985 0.50191 = SD 2 0.08296 0.04595
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This note was uploaded on 02/04/2011 for the course PB HLTH 140 taught by Professor Tarter during the Fall '10 term at University of California, Berkeley.

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