DSdsV2_2 Weibull_72>Operator StudyDFolio08  1234567 K    L27 (3^13)         q= ףM@(\M@ ףp=jN@zGN@       (\N@)\(N@(\oN@(\oN@       q= ףpN@(\5N@HzGN@QXN@       = ףp}N@QM@N@p= CN@       33333M@(\N@@N@q= ףPN@   ư>?      @@@@v@v@TahomaDBTahomaDB ????{Gz?{Gz?{Gz??333333?TahomaTahoma|Tahoma|TahomaDBTahomaDBTahomaDBTahomaDBTahomaDBTahomaDBTahomaDBTahomaDBTahomaDBTahoma|Z   CB ???d Upper Legend Lower LegendCurrent Upper TitleCurrent Lower TitleCurrent Main TitleCurrent X-Axis TitleCurrent Y-Axis TitleColorColor = Size = X = Y =  Starts at:  Ends at:  Duration: ???*****Z         Operator A Operator B Operator C Operator D    Response 1@                           L27 (3^13)1   xM =$7#X1Tahoma1Tahoma1Tahoma1Tahoma1Tahoma"$"#,##0_);\("$"#,##0\)!"$"#,##0_);[Red]\("$"#,##0\)""$"#,##0.00_);\("$"#,##0.00\)'""$"#,##0.00_);[Red]\("$"#,##0.00\)5*0_("$"* #,##0_);\("$"* #,##0\);_("$"* "-"_);_(@_),)'_(* #,##0_);\(* #,##0\);_(* "-"_);_(@_)=,8_("$"* #,##0.00_);\("$"* #,##0.00\);_("$"* "-"??_);_(@_)4+/_(* #,##0.00_);\(* #,##0.00\);_(* "-"??_);_(@_)                + ) , *  H p p@@ p@ p @ p@ p p Design   dMbP?_*+%&A Page &P&?'?(?)?"d??Q Level 255 Level 254 Level 253 Level 252 Level 251 Level 250 Level 249 Level 248 Level 247 Level 246 Level 245 Level 244 Level 243 Level 242 Level 241 Level 240 Level 239 Level 238 Level 237 Level 236 Level 235 Level 234 Level 233 Level 232 Level 231 Level 230 Level 229 Level 228 Level 227 Level 226 Level 225 Level 224 Level 223 Level 222 Level 221 Level 220 Level 219 Level 218 Level 217 Level 216 Level 215 Level 214 Level 213 Level 212 Level 211 Level 210 Level 209 Level 208 Level 207 Level 206 Level 205 Level 204 Level 203 Level 202 Level 201 Level 200 Level 199 Level 198 Level 197 Level 196 Level 195 Level 194 Level 193 Level 192 Level 191 Level 190 Level 189 Level 188 Level 187 Level 186 Level 185 Level 184 Level 183 Level 182 Level 181 Level 180 Level 179 Level 178 Level 177 Level 176 Level 175 Level 174 Level 173 Level 172 Level 171 Level 170 Level 169 Level 168 Level 167 Level 166 Level 165 Level 164 Level 163 Level 162 Level 161 Level 160 Level 159 Level 158 Level 157 Level 156 Level 155 Level 154 Level 153 Level 152 Level 151 Level 150 Level 149 Level 148 Level 147 Level 146 Level 145 Level 144 Level 143 Level 142 Level 141 Level 140 Level 139 Level 138 Level 137 Level 136 Level 135 Level 134 Level 133 Level 132 Level 131 Level 130 Level 129 Level 128~ Level 127} Level 126| Level 125{ Level 124z Level 123y Level 122x Level 121w Level 120v Level 119u Level 118t Level 117s Level 116r Level 115q Level 114p Level 113o Level 112n Level 111m Level 110l Level 109k Level 108j Level 107i Level 106h Level 105g Level 104f Level 103e Level 102d Level 101c Level 100 bLevel 99 aLevel 98 `Level 97 _Level 96 ^Level 95 ]Level 94 \Level 93 [Level 92 ZLevel 91 YLevel 90 XLevel 89 WLevel 88 VLevel 87 ULevel 86 TLevel 85 SLevel 84 RLevel 83 QLevel 82 PLevel 81 OLevel 80 NLevel 79 MLevel 78 LLevel 77 KLevel 76 JLevel 75 ILevel 74 HLevel 73 GLevel 72 FLevel 71 ELevel 70 DLevel 69 CLevel 68 BLevel 67 ALevel 66 @Level 65 ?Level 64 >Level 63 =Level 62 <Level 61 ;Level 60 :Level 59 9Level 58 8Level 57 7Level 56 6Level 55 5Level 54 4Level 53 3Level 52 2Level 51 1Level 50 0Level 49 /Level 48 .Level 47 -Level 46 ,Level 45 +Level 44 *Level 43 )Level 42 (Level 41 'Level 40 &Level 39 %Level 38 $Level 37 #Level 36 "Level 35 !Level 34 Level 33 Level 32 Level 31 Level 30 Level 29 Level 28 Level 27 Level 26 Level 25 Level 24 Level 23 Level 22 Level 21 Level 20 Level 19 Level 18 Level 17 Level 16 Level 15 Level 14 Level 13 Level 12 Level 11 Level 10 Level 9 Level 8 Level 7 Level 6 Level 5 Operator D Operator C Operator B Operator A}F} F}F}F}F}Fq= ףM@(\M@ ףp=jN@zGN@                              ! " # $ % & ' ( ) * + , - . / 0 1 2 3 4 5 6 7 8 9 : ; < = > ? @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z [ \ ] ^ _ ` a b c d e f g h i j k l m n o p q r s t u v w x y z { | } ~                                                                                                                                (\N@)\(N@(\oN@(\oN@                                    ! " # $ % & ' ( ) * + , - . / 0 1 2 3 4 5 6 7 8 9 : ; < = > ? @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z [ \ ] ^ _ ` a b c d e f g h i j k l m n o p q r s t u v w x y z { | } ~                                                                                                                                q= ףpN@(\5N@HzGN@QXN@                                    ! " # $ % & ' ( ) * + , - . / 0 1 2 3 4 5 6 7 8 9 : ; < = > ? @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z [ \ ] ^ _ ` a b c d e f g h i j k l m n o p q r s t u v w x y z { | } ~                                                                                                                                = ףp}N@QM@~N@p= CN@                                    ! " # $ % & ' ( ) * + , - . / 0 1 2 3 4 5 6 7 8 9 : ; < = > ? @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z [ \ ] ^ _ ` a b c d e f g h i j k l m n o p q r s t u v w x y z { | } ~                                                                                                                                33333M@(\N@~@N@q= ףPN@                                    ! " # $ % & ' ( ) * + , - . / 0 1 2 3 4 5 6 7 8 9 : ; < = > ? @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z [ \ ] ^ _ ` a b c d e f g h i j k l m n o p q r s t u v w x y z { | } ~                                                                                                                                >  dd  =T$g X1Tahoma1Tahoma1Tahoma1Tahoma1Tahoma1 Tahoma"$"#,##0_);\("$"#,##0\)!"$"#,##0_);[Red]\("$"#,##0\)""$"#,##0.00_);\("$"#,##0.00\)'""$"#,##0.00_);[Red]\("$"#,##0.00\)5*0_("$"* #,##0_);\("$"* #,##0\);_("$"* "-"_);_(@_),)'_(* #,##0_);\(* #,##0\);_(* "-"_);_(@_)=,8_("$"* #,##0.00_);\("$"* #,##0.00\);_("$"* "-"??_);_(@_)4+/_(* #,##0.00_);\(* #,##0.00\);_(* "-"??_);_(@_)                + ) , *  H   @   8@ 8 0@ 0  ( 0 @ 0   x@@ x@ x  @  @   8@ 8 0@ 0 0 @ 0   x@@ x@ x  @ 8 0 8 0 Sheet1   dMbP?_*+%&A Page &P&?'?(?)?"d??I}F})F} F}F}F@@@@@@@ @ @ @ @ @@@@@@@@@@@@@@# ANOVA Table$$$$$%Source of VariationDegrees of FreedomSum of Squares Mean SquaresF RatioP Value Treatment~@U0*?ZӼ?OjM3@/$?Error~0@:M ?W/'? Total~ 3@ tn@!!!"&S = 0.3251 R-sq = 44.6375% 1 Data Summary 222223 &'''''( ) Factor Level *Number in Level *Estimated Mean *Standard Deviation ''( + Operator A~ ,@ ,V-N@ ,V/? ''( + Operator B~ ,@ ,OnN@ ,ZӼ? ''(+ Operator C~,@,K7A`N@,9#J? ''(- Operator D~.@.sh|_N@.,Ԛ? //01Mean Comparisons222223&'''''() Treatment*Mean Difference*Pooled Standard Error*Low CI*High CI*T Value4P Value +Operator A - Operator B,9v?,p_Q?,{Pÿ,Fx $?,V/?5Ԛ? +Operator A - Operator C,ٿ,p_Q?,H,/' ,ŏ1w-!6nʱ? +Operator A - Operator D,K7ٿ,p_Q?,, -, 6'†Wʲ? +Operator B - Operator C,~jt,p_Q?,D,4@Ͽ,=yX6Έ ? +Operator B - Operator D,$C,p_Q?,>W[,=,ԚϿ,?W[l6n? -Operator C - Operator D.~jtx?.p_Q?.ֿ.ݓZ?.<,Ԛ?7}8gD?>dd  =8X1Tahoma1Tahoma1Tahoma1Tahoma1Tahoma"$"#,##0_);\("$"#,##0\)!"$"#,##0_);[Red]\("$"#,##0\)""$"#,##0.00_);\("$"#,##0.00\)'""$"#,##0.00_);[Red]\("$"#,##0.00\)5*0_("$"* #,##0_);\("$"* #,##0\);_("$"* "-"_);_(@_),)'_(* #,##0_);\(* #,##0\);_(* "-"_);_(@_)=,8_("$"* #,##0.00_);\("$"* #,##0.00\);_("$"* "-"??_);_(@_)4+/_(* #,##0.00_);\(* #,##0.00\);_(* "-"??_);_(@_)                + ) , *  H Sheet1   dMbP?_*+%&A Page &P&?'?(?)?"d??@}& F>dd&    ON@M@O@?dBox Plot)User Name Company 2/25/2008 8:13:40 AM#ReliaSoft DOE++ - www.ReliaSoft.comBox PlotLevel Response 1Color T Value = X = Y =  Starts at:  Ends at:  Duration: ???*****#ReliaSoft DOE++ - www.ReliaSoft.comZ? Operator A@ Operator B@ Operator C@ Operator D @@@@v@v@TahomaDBTahomaDB o_?_Fj?{Gz?LJ?gj+?o_?y):?ڬ\mž?333333?TahomaTahoma|Tahoma|TahomaDBTahomaDBTahomaDBTahomaDBTahomaDBTahomaDBTahomaDBTahomaDBTahomaDBTahoma|Z  Response 1 Data PointsResponse 1(Data Points) Data PointsResponse 1 Y' = Yd? Response 1 Mean ValuesResponse 1(Mean Values) Mean ValuesResponse 1 Y' = Yd?2 Response 1 Mean LineResponse 1(Mean Line) Mean LineResponse 1 Y' = Yd? Response 1Operator A BoxResponse 1(Operator A Box)Box PlotResponse 1 Y' = Yd? Response 1Operator B BoxResponse 1(Operator B Box)Box PlotResponse 1 Y' = Yd? Response 1Operator C BoxResponse 1(Operator C Box)Box PlotResponse 1 Y' = Yd? Response 1Operator D BoxResponse 1(Operator D Box)Box PlotResponse 1 Y' = Yd?1 Response 1 Residual LineResponse 1(Residual Line) Residual Line Response 1d? SpecialUpper Critical Valued?SpecialLower Critical Valued?SpecialZero Value Lined?@  Response 1 Operator AResponse 1(Mean PDF) Operator AResponse 1 Y' = Yd?A  Response 1 Operator BResponse 1(Mean PDF) Operator BResponse 1 Y' = Yd?B  Response 1 Operator CResponse 1(Mean PDF) Operator CResponse 1 Y' = Yd?C  Response 1 Operator DResponse 1(Mean PDF) Operator DResponse 1 Y' = Yd?Folio Data Set Lambda Line Lambda Line Lambda Line Response 1d?Folio Data Set Best LambdaBest Lambda = 5.0000 Best Lambda Response 1d? Response 1Level Mean PointsResponse 1(Level Mean Points)Level Mean PointsResponse 1 Y' = Yd? Response 1Level 1Response 1(Mean Line)Level 1Response 1 Y' = Yd? Response 1Level 2Response 1(Mean Line)Level 2Response 1 Y' = Yd? Response 1Level 3Response 1(Mean Line)Level 3Response 1 Y' = Yd? Response 1Level 4Response 1(Mean Line)Level 4Response 1 Y' = Yd? Non-SignificantNon-SignificantNon-SignificanthA  Significant Significant Significanto@   Response 1 Data PointsResponse 1(Data Points) Data PointsResponse 1 Y' = Yd??q= ףM@Q1?q= ףM@Q2?(\N@Q3?ףp= wN@?= ףp}N@@(\M@Q1@(\M@Q2@(\N@Q3@(\/N@@(\5N@@@N@Q1@@N@Q2@ ףp=jN@Q3@HzwN@@N@@p= CN@Q1@p= CN@Q2@QXN@Q3@QxN@@zGN@ Response 1 Mean ValuesResponse 1(Mean Values) Mean ValuesResponse 1 Y' = Yd??V-N@@OnN@@K7A`N@@sh|_N@ Response 1Operator A BoxResponse 1(Operator A Box)Box PlotResponse 1 Y' = Yd? ?q= ףM@?q= ףM@?q= ףM@?ףp= wN@?ףp= wN@?q= ףM@?q= ףM@?(\N@?(\N@?ףp= wN@?ףp= wN@?= ףp}N@ Response 1Operator B BoxResponse 1(Operator B Box)Box PlotResponse 1 Y' = Yd? @(\M@@(\M@@(\M@@(\/N@?(\/N@?(\M@@(\M@@(\N@?(\N@?(\/N@@(\/N@@(\5N@ Response 1Operator C BoxResponse 1(Operator C Box)Box PlotResponse 1 Y' = Yd? @@N@@@N@ @@N@ @HzwN@@HzwN@@@N@ @@N@ @ ףp=jN@@ ףp=jN@@HzwN@@HzwN@@N@ Response 1Operator D BoxResponse 1(Operator D Box)Box PlotResponse 1 Y' = Yd? @p= CN@@p= CN@@p= CN@@QxN@@QxN@@p= CN@@p= CN@@QXN@@QXN@@QxN@@QxN@@zGN@   ????{Gz?{Gz?{Gz??333333?TahomaTahoma|Tahoma|TahomaDBTahomaDBTahomaDBTahomaDBTahomaDBTahomaDBTahomaDBTahomaDBTahomaTahoma|Z  @@@@v@v@TahomaDBTahomaDB  "ƚK s&  '' & MDCR-O. &MDCR-{  --'' &MDCR-T1;0;-1; &MDCR-F-! &MDCR-T4;0;0; &MDCR-FRR! &MDCR-T4;0;0; &MDCR-F! &MDCR-T4;0;0; &MDCR-F! &MDCR-T4;0;0; &MDCR-F  ! &MDCR-T4;0;0; &MDCR-F  ! &MDCR-T4;0;0; &MDCR-Fs s ! &MDCR-T4;0;0; &MDCR-F! &MDCR-T4;0;0; &MDCR-F! &MDCR-T4;0;0; &MDCR-F! &MDCR-T4;0;0; &MDCR-F99! &MDCR-T4;0;0; &MDCR-F! &MDCR-T4;0;0; &MDCR-FJJ! &MDCR-T4;0;0; &MDCR-F! &MDCR-T4;0;0; &MDCR-F! &MDCR-T4;0;0; &MDCR-FZZ! &MDCR-T4;0;0; &MDCR-F! &MDCR-T4;0;0; &MDCR-Fk k ! &MDCR-T4;0;0; &MDCR-F!!! &MDCR-T4;0;0; &MDCR-F # #! &MDCR-T4;0;0; &MDCR-F \"Tahoma2 ww 0wf.f-!#ReliaSoft DOE++ - www.ReliaSoft.com2 &MDCR-T3;0;0; &MDCR-F &MDCR-S-' &MDCR-T2;0;0; &MDCR-F "Tahomar +ww 0wf.f- !Box Plot &MDCR-T3;0;0; &MDCR-F &MDCR-S >"Tahoma2 ww 0wf.f- !LevelR%@ &MDCR-T3;0;0; &MDCR-F &MDCR-S>"Tahomar -ww 0wf.f- ! Response 1w &MDCR-T3;0;0; &MDCR-F &MDCR-S-$ &MDCR-T4;0;0; &MDCR-F$!! &MDCR-T4;0;0; &MDCR-F-$ {$ &MDCR-T4;0;0; &MDCR-F\"Tahoma2 ww 0wf.f- ! Operator A$ &MDCR-T5;0;0; &MDCR-F &MDCR-S${$ &MDCR-T4;0;0; &MDCR-F ! Operator B$ &MDCR-T5;0;0; &MDCR-F &MDCR-S${$ &MDCR-T4;0;0; &MDCR-F ! Operator C$ &MDCR-T5;0;0; &MDCR-F &MDCR-S${$ &MDCR-T4;0;0; &MDCR-F ! Operator D$ &MDCR-T5;0;0; &MDCR-F &MDCR-S-{${$! &MDCR-T4;0;0; &MDCR-F !58.000$ &MDCR-T5;0;0; &MDCR-F &MDCR-S! &MDCR-T4;0;0; &MDCR-F !62.000@ &MDCR-T5;0;0; &MDCR-F &MDCR-S-! &MDCR-T4;0;0; &MDCR-F !58.800Y &MDCR-T5;0;0; &MDCR-F &MDCR-S! &MDCR-T4;0;0; &MDCR-F !59.600 &MDCR-T5;0;0; &MDCR-F &MDCR-S))! &MDCR-T4;0;0; &MDCR-F !60.400 &MDCR-T5;0;0; &MDCR-F &MDCR-Sb b ! &MDCR-T4;0;0; &MDCR-F !61.200  &MDCR-T5;0;0; &MDCR-F &MDCR-S-- ^ #&<MDCR-T48;0;1;Response 1(Data Points) X = 1.000 Y = 59.880 &MDCR-F ^ %&@MDCR-T88;0;2;Response 1(Data Points) Q1 X = 1.000 Y = 59.880 &MDCR-F U %&@MDCR-T88;0;3;Response 1(Data Points) Q2 X = 1.000 Y = 60.120 &MDCR-F z %&@MDCR-T88;0;4;Response 1(Data Points) Q3 X = 1.000 Y = 60.930 &MDCR-Fq #&<MDCR-T48;0;5;Response 1(Data Points) X = 1.000 Y = 60.980 &MDCR-Fs#&<MDCR-T48;0;6;Response 1(Data Points) X = 2.000 Y = 59.870 &MDCR-Fs%&@MDCR-T88;0;7;Response 1(Data Points) Q1 X = 2.000 Y = 59.870 &MDCR-FU%&@MDCR-T88;0;8;Response 1(Data Points) Q2 X = 2.000 Y = 60.120 &MDCR-F8%&@MDCR-T88;0;9;Response 1(Data Points) Q3 X = 2.000 Y = 60.370 &MDCR-F/$&=MDCR-T58;0;10;Response 1(Data Points) X = 2.000 Y = 60.4203 &MDCR-F$&=MDCR-T58;0;11;Response 1(Data Points) X = 3.000 Y = 60.5003 &MDCR-F&&AMDCR-T98;0;12;Response 1(Data Points) Q1 X = 3.000 Y = 60.500 &MDCR-F R &&AMDCR-T98;0;13;Response 1(Data Points) Q2 X = 3.000 Y = 60.830 &MDCR-F o &&AMDCR-T98;0;14;Response 1(Data Points) Q3 X = 3.000 Y = 60.935 &MDCR-FF  $&=MDCR-T58;0;15;Response 1(Data Points) X = 3.000 Y = 61.000. &MDCR-FA$&=MDCR-T58;0;16;Response 1(Data Points) X = 4.000 Y = 60.530. &MDCR-FA&&AMDCR-T98;0;17;Response 1(Data Points) Q1 X = 4.000 Y = 60.530 &MDCR-F  &&AMDCR-T98;0;18;Response 1(Data Points) Q2 X = 4.000 Y = 60.690 &MDCR-F d &&AMDCR-T98;0;19;Response 1(Data Points) Q3 X = 4.000 Y = 60.940 &MDCR-F0  $&=MDCR-T58;0;20;Response 1(Data Points) X = 4.000 Y = 61.010. &MDCR-F- % S- : &%MDCR-T8;5;0;Response 1(Mean Values) &MDCR-F-- _ #&<MDCR-T48;5;1;Response 1(Mean Values) X = 1.000 Y = 60.352 &MDCR-F!#&<MDCR-T48;5;2;Response 1(Mean Values) X = 2.000 Y = 60.144 &MDCR-F_  #&<MDCR-T48;5;3;Response 1(Mean Values) X = 3.000 Y = 60.752 &MDCR-Fl  #&<MDCR-T48;5;4;Response 1(Mean Values) X = 4.000 Y = 60.746 &MDCR-F-%          ? &-MDCR-T%8;100000;0;Response 1(Operator A Box) &MDCR-F% iiii&-MDCR-T%8;100001;0;Response 1(Operator B Box) &MDCR-F% OOO  OO     &-MDCR-T%8;100002;0;Response 1(Operator C Box) &MDCR-F%  + + + +   &-MDCR-T%8;100003;0;Response 1(Operator D Box) &MDCR-F !Box Plot" &MDCR-T6;0;0; &MDCR-F &MDCR-S-"& &MDCR-T6;0;0; &MDCR-F("(& &MDCR-T6;0;0; &MDCR-F  ! Response 1T" &MDCR-T7;0;0; &MDCR-F &MDCR-S !Y' = Y" &MDCR-T7;0;0; &MDCR-F &MDCR-S -EX#" &MDCR-T7;0;0; &MDCR-F ! Data Points;# &MDCR-T7;0;0; &MDCR-F &MDCR-S-X#" &MDCR-T7;5;0; &MDCR-F-"# &MDCR-T7;5;0; &MDCR-F ! Mean Values;i# &MDCR-T7;5;0; &MDCR-F &MDCR-S-v"v#&MDCR-T 7;100000;0; &MDCR-F !Box Plot#&MDCR-T 7;100000;0; &MDCR-F &MDCR-S ! User Name!" &MDCR-T6;0;0; &MDCR-F &MDCR-S !CompanySg"" &MDCR-T6;0;0; &MDCR-F &MDCR-S ! 2/25/2008#" &MDCR-T6;0;0; &MDCR-F &MDCR-S ! 8:13:40 AM#" &MDCR-T6;0;0; &MDCR-F &MDCR-S-{$"{$& &MDCR-T6;0;0; &MDCR-F &MDCR-}^--"Systemf.f !- Response 1DExperimentResponse@0  . Response 1 q= ףM@(\N@q= ףpN@= ףp}N@33333M@(\M@)\(N@(\5N@QM@(\N@ ףp=jN@(\oN@HzGN@N@@N@zGN@(\oN@QXN@p= CN@q= ףPN@   V-N@V-N@V-N@V-N@V-N@OnN@OnN@OnN@OnN@OnN@K7A`N@K7A`N@K7A`N@K7A`N@K7A`N@sh|_N@sh|_N@sh|_N@sh|_N@sh|_N@ @SoA0?aJ?(?YK?,=oܥ?Cčf?M ? q= ףPN@?                    @%zZ3@ Treatmentnqx?y?  0@ErrorM ?    v?Ko$?5ARÿOperator A - Operator Bj퓂X?1fP?܅@/? ٿ*7 fLIOperator A - Operator Cn]ʱ?1fP?ɂ< K7ٿ*Ck\K%Operator A - Operator DB.Dz?1fP?5ήv ~jt˖7ϿMM<Operator B - Operator C@O?1fP?/ap $CCUϿxOperator B - Operator D@$,?1fP?Ul `jtx?Q$ N[?@fֿOperator C - Operator Dzm;D?1fP?$mc=?  V-N@ Operator A@SoA0? OnN@ Operator BaJ? K7A`N@ Operator C(?YK? sh|_N@ Operator D,=oܥ?   ffffff?     P.5      aAa_MainProject ~Operator Study.doc.C:\DOCUME~1\MCAROL~1\LOCALS~1\Temp\RSF1136.tmpࡱ> #` bjbjmm .` 3  )))8@)$d) 8t*t*:***---%8'8'8'8'8'8'8$:h=K8 ---@--K8**`8000-2* *%80-%8003  !4*h* @-x) /v3Q4v8083,=/ =!4= !40--0-----K8K80j---8---- $$( $(  Example Consider the following experiment, which was performed at a pulp mill. Plant performance is based on pulp brightness, as measured by a reflectance meter. Each of the four shift operators (denoted by A, B, C and D) made five pulp handsheets from unbleached pulp. Reflectance was read for each of the handsheets using a brightness tester. The data set is shown next. Operator AOperator BOperator COperator D59.8859.8760.8361.0160.1260.3260.8760.8760.8860.4260.5660.6960.9859.996160.5359.960.1260.560.63 A goal of the experiment is to determine whether there are differences between the operators in making the handsheets and reading their brightness. Design the Experiment The design matrix and the data are given in the Operator Study Folio. You can also reproduce the design by the following steps. Step 1: Add a new Standard Folio by selecting Add Folio from the Project menu. Step 2: In the first step of the Design Wizard, select One Factor Design then click Finish to create the Standard Folio containing the one factor design. Analysis and Results The design and the data are provided in the Operator Study Folio. You can proceed using this Folio or you can copy the data to the Folio you just created. Once the data set has been entered in the Data Sheet, you can analyze it. Step 1: Double-click the Operator Study Folio to open it. The Design tab will be displayed. Step 2: Click the Calculate icon. Several tables of results are provided on the Analysis tab, which is added to the Folio upon calculation. The first one is the ANOVA table, which is shown next. ANOVA TableSource of VariationDegrees of FreedomSum of Squares [Partial]Mean Squares [Partial]F RatioP ValueTreatment31.36330.45444.30010.021Error161.69080.1057Total193.0541 Given the risk (significance) level of 0.1, because P = 0.021 < 0.1, we conclude that there are significant differences between these four operators. Step 3: Click the Plot icon to add the Plot tab to the Folio. Step 4: Select Box Plot from the Plot Type drop-down in the Control Panel. The box plot is shown next.  From the plot, we can see that operators C and D are almost the same. The Mean Comparison table, shown on the Analysis tab is shown next. Mean ComparisonsContrastMean DifferencePooled Standard ErrorLow CIHigh CIT ValueP ValueOperator A - Operator B0.2080.2056-0.15090.56691.01170.3267Operator A - Operator C-0.40.2056-0.7589-0.0411-1.94560.0695Operator A - Operator D-0.3940.2056-0.7529-0.0351-1.91640.0734Operator B - Operator C-0.6080.2056-0.9669-0.2491-2.95720.0093Operator B - Operator D-0.6020.2056-0.9609-0.2431-2.92810.0098Operator C - Operator D0.0060.2056-0.35290.36490.02920.9771 From the table, we can see that there is also no significant difference between operators A and B. The small P values displayed in red indicate significant difference between the compared operators. Conclusions From the ANOVA table, we can see that there is a significant difference between the four operators. From the paired comparison, we see that the difference between A and B and the difference between C and D are not particularly significant.      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