WNGZWZSS0110€rЧqЧql?џџџџџџџџџџўџџџџџџџџџџџўџџџџџџџџџџџџџџџџџџџџџџџџџџ Genevat AUTOSAVE.WKZ:~ e"-/J4)dџџўџўџўџўџўџy‚ўџ IАm€(џџ D\ШXШœ$џШ€џџ№.№/h0dџ№€€@><?F@ џџ>џm@ џџ1џmo@ џџ2џz@ џџ3џIo@ џџыџI@ 6џCx@ џџ7џCs@ џџыџVx@ џџыџVs@ џџ4џEv@ џџ:џnomVs@ џџ9џnomVx@ џџ5џEs@ џџ<џSs@ џџ=џSx@ џџыџC@ џџыџVt@џџ@џresult@џџ8џblank@ ьџџџЁџ@ ыџўџЅџ@ ъџ§џЅъџ§џЁ1џ@§џ /% 1џ@_  №?{ЎGсz„?,@ 0/%0.%0 0№?{ЎGсz„?,@ 0/%0.%0.џ@   1џ@   0/џ@   0 1џ@   /% 1џ@   1џ@[  №?{ЎGсz„?,@ 0/%0.%0 0№?{ЎGсz„?,@ 0/%0.%0џ @  џџџџGeneva @  џџџџGeneva @  џџџџGeneva @ e џџџџGeneva @  џџџџGeneva @  џџџџSymbol @C/џџ:Simulation of the Single External Standard Method (linear) @y1џџmo №?џџ+Analytical curve slope without interference џџ Run number џџresult @x2џџz џџ-Interference factor (zero -> no interference)џџ№?qРпсџя? @x3џџIo №?џџ,Interferent concentration in original sampleџџ@9р„m8№? @l4џџEv №?џџ Random volumetric error (% RSD )џџ@›^F7№? @l5џџEs џџ Signal measurement error (% RSD)џџ@ )qШ„№? @p6џџCx №?џџ$True analyte concentration in sampleџџ@/Ћжh№? @n7џџCs №?џџ"Concentration of standard solutionџџ@Ќ‰ ”^№? @i8џџblank џџ(Uncorrected) blank signalџџ@…ШЕЈћ№? @(9џџ @[‰ktся? @(:џџ"@яЈ Ь№? @(;џџ$@фxПЅ<№? @d<џџSs% ГžЙzn№?џџSignal given by standardџџ&@>ќRWЙХя? @b=џџSx%  \!_bў №?џџSignal given by sampleџџ(@ѓЯKЄ,Q№? @r>џџm% №?џџ'Analytical curve slope in actual sampleџџ*@sš,Хdя? @`?џџratio% DхЁ“чія?џџRatio of Ss to Sxџџ,@ЯIˆžфю? @z@џџresult%  Wu№?џџ*Result calculated by proportion (Cs*Sx/Ss)џџ.@яXЌСя? @kAџџaccuracy%2  \ д6R?џџRelative percent accuracyџџ0@СjНиo№? @}Bџџrecovery%2  №?џџ+Relative % effect of interference on signalџџ1@щЁ›ˆBя? @ Cџџ2@)›љVя? @ Dџџ3@щїТЩ.№? @ E џџ4@ {Іjб#№? @FџџMean%ы"‹Еыњя? @Gџџs%‡ЩNсМр? @Hџџ% RSD%2hR/Эх? @!I џџAccuracy% 2Ttг)QDП€@PH/ Lџџџџџџџџџџ(€@ЬjЪС09џџџџџџџџџџ€zў{nDKџџџџџџџџџџџџџ Chicago Genevaыы@d,Based on Ingle and Crouch, вSpectrochemical Analysisг, Chapter 6. The group of variables in the top left of the screen are independent variables that you can change. Click on the number (boldface), type a new value and press the enter key. The group of variables in the bottom left of the screen are dependent variables that are automatically calculated from the independent variables. The most important dependent variable is result, which is the simulated experimental measurement of the analyte concentration Cx. It should ideally be equal to Cx; accuracy is the % difference between them. To inspect the equations that perform these calculations, click on the number and look at the rectangular box at the top of the screen. To operate the Monte-Carlo simulation, set the values of the independent variables, and then click on the в20 repeat runsг button. This simulates the 20 spearate measurements with random errors caused by Es and Ev. The results are shown in the table on the right of the screen. Assumptions: 1. Analytical curve is linear 2. The only sources of error are random errors in volume and signal measurement. Errors are a fixed percentage of the quantity measured (fixed relative error rather than fixed absolute error).  Geneva Geneva((чьЏЕ')+3­ЏДЖ€ї20 repeat runsPЗ EG20 repeat runsБyqqq§§§ 2Eџ§§ 2Eџ§§§ 2Eџ§№?є4@№?4@№?ї.єѕR§§!џRI@.5C85џ§& resultџRI@.5C95џ’џ§=avg(R51C9..R70C9)Fџ§=std(R51C9..R70C9)Gџ§0$=std(R51C9..R70C9)/avg(R51C9..R70C9)Hџ§=(R71C9-Cx)/CxIџќcountrepaint off define count column numbers select range R51C8..R70C8 remove data select range R51C9..R70C9 remove data unselect repaint range R51C8..R70C9 repaint on for count = 1 to 20 recalc put count into "R"&50+count&"C8" put result into "R"&50+count&"C9" end for put "=avg(R51C9..R70C9)" into R71C9 put "=std(R51C9..R70C9)" into R72C9 put "=std(R51C9..R70C9)/avg(R51C9..R70C9)" into R73C9 put "=(R71C9-Cx)/Cx" into R74C9 џџџ4џџџџџџџџџџ Chicago Chicago2€€џ