"February 23, 1982 The 1982 annual meetings of the American Statistical Association (ASA) will be held August 16-19, 1982 in Cincinnati. At that meeting, the ASA Committee on Statistical Graphics plans to sponsor an \"Exposition of Statistical Graphics Technology.\" The purpose of this activity is to more fully inform the ASA membership about the capabilities and uses of computer graphcis in statistical work. This letter is to invite you to participate in the Exposition. Attached is a set of biomedical data containing 209 observations (134 for \"normals\" and 75 for \"carriers\"). Each vendor of provider of statistical graphics software participating in the Exposition is to analyze these data using their software and to prepare tabular, graphical and text output illustrating the use of graphics in these analyses and summarizing their conclusions. The tabular and graphical materials must be direct computer output from the statistical graphics software; the textual descriptions and summaries need not be. The total display space available to each participant at the meeting will be a standard poster- board (approximately 4' x 2 1/2'). All entries will be displayed in one location at the meetings, together with brief written commentary by the committee summarizing the results of this activity. Reference Exposition of Statistical Graphics Technology, L. H. Cox, M. M. Johnson, K. Kafadar, ASA Proc Stat. Comp Section, 1982, pp 55-56. Enclosures THE DATA The following data arose in a study to develop screening methods to identify carriers of a rare genetic disorder. Four measurements m1, m2, m3, m4 were made on blood samples. One of these, m1, has been used before. Because the disease is rare, there are only a few carriers of the disease from whom data are available. The data come in two files, one for normals and one for carriers of the disease. A description of the files is provided. The data have been stripped of the names and other identifiers. Otherwise the data are as received by the analyst. PURPOSE OF THE ANALYSIS The purpose of the analysis is to develop a screening procedure to detect carriers and to describe its effectiveness. Experts in the field have noted that young people tend to have higher measurements. The laboratory which prepared the measurements is worried that there may be a systematic drift over time in their measurement process. These effects should be considered in the analysis. Can graphical displays show the differences between the distributions of carriers and normals? FILE DESCRIPTION Column Content 1 Observation number (sequence number per patient) Note that there are several samples per patient for some patients. 2-8 Blank 9-12 Hospital identification number for blood sample 13-18 Blank 19-20 Age of patient 21-26 Blank 27-32 Date that blood sample was taken (mmddyy) Note that all day entries are 00. 33-39 Blank 40-43 ml (measurement 1) sss.s 44-50 Blank 51-54 m2 (measurement 2) xxx.x Eight missing data points. 55-61 Blank 62-65 m3 (measurement 3) xxx.x 66-72 Blank 73-75 m4 (measurement 4) xxx Seven missing data points. Information about the dataset CLASSTYPE: nominal CLASSINDEX: last " "0" "biomed" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "carrier" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" "normal" 167 104 30 44 65 440 58 129 104 122 144 265 510 285 25 124 53 46 40 41 45 657 465 485 610 168 286 388 148 73 36 55 19 34 25 113 57 78 73 69 177 48 34 42 109 925 1288 325 59 69 363 37 101 99 125 52 560 85 79 72 197 242 245 154 228 123 80 28 35 57 326 700 100 80 115 52 20 28 30 40 24 15 22 42 130 48 31 41 47 36 24 34 38 40 59 75 72 42 30 24 29 26 65 34 37 73 87 35 31 62 48 40 55 32 26 25 22 30 35 34 27 22 22 72 22 51 30 23 67 50 92 55 38 22 27 28 34 44 32 35 35 31 25 52 34 53 69 25 24 21 51 37 24 30 34 22 32 45 24 20 34 25 26 28 21 23 26 25 21 56 48 51 18 28.8 41 40 21 95 59 40 30 48 39 30 38 27 32 74 33 34 45 52 28 35 37 44 68 97.5 37 34 30 37 26 24 41 43 30 30 43 89 81 108 104 87 107 88.2 93.1 87.5 88.5 nan 83.5 nan 79.5 91 92 76 71 85.5 90 nan 104 86.5 83.5 nan 82.5 109.5 91 105.2 105.5 92.8 nan 100.5 98.5 nan 97 105 118 104 111 103.5 98 96.5 100.1 81 81 82 76.3 93 92.6 91.3 84 77.5 93.2 90.5 93.3 106 94 nan 88 91.5 85.5 89.5 103.5 104 nan 90.5 104 86.3 88 98 90 101 97.5 79 83.5 77 86.5 104 83 78.8 87 91 65.5 80.3 85.2 86.5 87.3 53 56 57.5 92.7 96 104.6 88 81 66.3 77 80.2 87 94 84.5 75 86.3 73.3 57.4 76.3 71 61.5 81 79 82.5 85.5 73.8 79.3 91 84 76 76.7 78 90 71.5 73.5 80.5 85.5 70 66.7 66.3 98 69 68 78.2 82 99 100 93.5 84 81.3 86.5 59.4 90 75.5 78.9 77 75 93.2 66.7 70.5 89.5 108.5 82 77.3 82 77 81.3 102 79.2 108 70.4 72 91 92 109 102.3 92.4 111.5 92.6 98.7 93.2 72 83 91 95 104 105.5 81 74.5 69.8 72.5 72.7 79.5 76 88.5 82.7 85 87.2 76.3 80.4 86 80.5 86.5 79 82.5 97 93 81.3 82.8 34 98 92 80 98 94.2 100.5 78.5 87.5 90.5 85 88.5 25.6 26.8 8.8 17.4 23.8 20.2 11 18.3 16.7 21.6 24.4 16.1 60.2 36.4 49.1 32.2 14 16.9 12.7 9.7 13.8 110 63.7 73 111.7 23.3 31.9 41.6 18.8 17 22 20.7 10.9 19.9 9.2 18.8 12.9 15.5 20.6 16 19.8 16.4 10.4 17.1 25.3 62.9 51.6 33.9 22.2 20.9 36 12.8 11.7 18.6 19.4 11.2 21 20.1 9 8.3 25.2 16.6 22.7 21.3 10.2 25.4 12.1 22 14.4 8.9 27.1 49.1 11.8 15.1 14.2 10.9 11 13.2 22.6 15.2 9.6 13.5 17.5 13.3 17.1 22.7 6.9 15 14.6 18.2 5.6 7.9 12.6 16.1 9.9 10.1 16.4 15.3 8.1 3.5 11.8 20.7 19.9 11.8 13 7.4 6 8.8 9.9 10.2 16.8 6.4 10.9 8.6 16.4 10.3 2.8 17.1 10.9 8 15.6 11.8 5.1 12 15 16.6 15.3 4.4 9.3 15.1 16.5 21.8 15.8 10.8 10.3 7 12 10.5 6.7 11.3 15.3 13.7 12.2 17.9 15.4 22.3 8.7 5.3 16.1 9.8 12.9 3.9 14.2 16.2 9.7 10.3 5.8 13.7 10.6 11.9 14.5 14 8.9 17.1 10.3 10 12.3 10 5.9 9.9 13.7 12.7 11.3 6.9 15.1 6.1 12.2 7.3 10.7 7 11.9 16.6 7.6 18.1 21.6 12.5 5.6 8.9 3.8 11.1 10.8 10.7 17.4 14.5 15.3 15.3 11.9 12 16.4 12.1 12.9 11.7 11.7 14 10.9 6 15.3 11.4 20.3 1 1 1 2 1 1 1 1 2 3 4 1 2 1 2 1 1 2 3 4 5 1 2 3 4 1 1 2 3 1 2 3 1 2 3 1 1 1 2 1 2 1 2 3 1 1 2 3 1 2 1 1 1 1 2 3 1 1 2 3 1 2 3 1 2 3 1 1 2 1 1 2 1 2 1 1 1 1 1 1 1 1 1 1 1 2 3 4 1 2 3 1 2 1 1 2 3 1 2 3 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 2 1 2 3 1 2 3 1 1 1 2 3 1 1 2 1 1 1 1 1 1 2 3 1 1 1 2 1 1 1 1 2 1 1 1 2 1 2 3 1 1 1 1 1 1 1 1 2 3 4 5 6 7 1 2 1 1 1 1 1 1 1 2 1 2 1 1 1 1 1 2 1 2 1 2 3 1 2 1 2 3 1 1 2 1 1 2 1 1 2 1 2 3 1027 1013 1324 1332 966 979 1327 978 1290 1139 1487 1193 1513 1208 1395 1209 947 1153 1311 1325 1536 923 1156 1266 1496 1135 914 1124 1398 913 1223 1531 970 1155 1538 1109 1354 949 1066 1168 1447 911 951 1009 1358 1115 1203 1381 929 1236 1202 1050 1289 1173 1008 1328 1303 956 1253 1302 953 1163 1334 1030 1306 1493 1323 902 1296 1249 955 1307 984 1141 1305 1007 786 778 1306 895 987 789 825 1296 906 933 1246 671 818 921 1253 941 1287 1301 948 1259 1289 773 934 1022 667 801 1262 938 903 916 1249 1218 779 990 1001 1250 1219 1248 1307 769 1016 774 917 1255 813 920 1012 1285 669 782 909 1247 943 804 942 1305 765 657 918 673 790 908 1244 1298 949 791 824 1003 819 1292 914 1220 989 1281 768 1011 771 910 1245 802 1295 675 1294 781 762 1290 831 896 919 927 940 947 1010 899 1303 763 926 1252 1310 1017 776 901 1009 913 1260 767 1019 936 1261 929 1254 911 1015 777 904 1021 789 829 764 907 1014 811 785 1217 766 770 682 798 942 1024 810 1258 1300 30 41 22 22 20 42 59 35 36 35 36 29 30 27 27 28 29 30 30 30 31 31 32 32 32 37 38 39 39 34 35 36 58 58 59 38 30 42 43 29 30 35 35 35 44 35 35 36 53 54 30 35 53 41 40 42 59 31 32 32 52 52 53 39 39 40 43 44 45 33 26 26 61 61 48 22 32 36 22 23 30 27 30 25 26 26 27 25 26 27 27 31 31 35 28 28 28 27 27 28 31 24 23 27 25 34 34 25 20 20 31 31 26 26 21 27 27 26 26 26 31 31 31 25 22 35 36 36 33 27 27 36 25 27 33 26 22 23 25 22 31 33 33 27 30 20 30 30 27 35 26 27 24 25 26 20 22 38 34 22 22 24 38 39 39 39 39 39 39 32 34 22 39 33 33 20 22 25 25 36 36 22 39 30 37 27 28 29 30 31 31 32 32 32 25 26 26 37 25 25 20 25 24 34 32 32 32 33 33 100078 100078 80079 80079 100078 90078 80079 90078 60079 20079 110079 40079 120079 40079 90079 40079 80078 20079 70079 80079 10080 60078 20079 50079 120079 20079 60078 10079 90079 60078 40079 10080 80078 20079 10080 10079 80079 80078 110078 30079 100079 60078 70078 90078 90079 90079 40079 90079 60078 40079 40079 110078 60079 30079 90078 80079 60079 80078 50079 60079 60078 30078 80079 100078 60079 120079 80079 60078 60079 50079 110078 60079 90078 20079 60079 60079 80078 70078 110079 10078 50079 80078 110078 100079 20079 30079 70079 100077 100078 30079 70079 40079 90079 100079 40079 80079 90079 70078 30079 60079 110077 90078 80079 30079 20079 30079 70079 70079 70078 50079 60079 70079 70079 70079 110079 60078 60079 70078 30079 70079 100078 30079 60079 90079 120077 70078 20079 70079 40079 90078 30079 100079 60078 100077 30079 120077 80078 20079 70079 100079 50079 80078 110078 60079 100078 100079 20079 70079 50079 80079 60078 60079 70078 20079 70079 90078 100079 120077 100079 70078 60078 90079 120078 10079 30079 30079 40079 40079 60079 20079 100079 60078 30079 70079 110079 60079 70078 20078 60079 20079 80079 60078 60079 30079 70079 30079 70079 20079 60079 70078 20079 60079 70078 120078 60078 20079 60079 100078 70078 70079 60078 60078 100077 90078 40079 60079 100078 70079 100079 364 245 284 172 198 239 259 188 256 263 329 136 272 245 209 298 174 197 201 342 217 358 412 382 593 261 260 204 221 285 308 262 196 299 316 216 155 212 201 175 241 233 122 184 227 279 368 413 240 243 325 156 280 156 438 272 345 198 137 166 236 168 269 296 236 275 269 142 184 190 358 343 301 262 258 176 200 171 230 205 151 232 198 216 211 160 162 -2147483648 131 105 130 140 158 209 128 177 156 163 100 132 -2147483648 145 187 120 254 107 87 186 172 181 182 151 216 147 123 135 145 145 105 140 167 98 184 225 -2147483648 146 124 142 225 160 115 188 161 -2147483648 169 -2147483648 175 159 149 130 124 160 127 198 171 349 119 123 176 148 149 141 123 124 158 177 190 -2147483648 181 110 144 166 163 146 197 133 196 174 181 227 228 149 66 169 252 167 163 169 314 131 130 133 168 124 198 99 159 207 149 149 169 187 144 137 167 166 177 203 198 217 129 177 -2147483648 231 191 136 136 176 175 "Observation_number" "Hospital_identification_number_for_blood_sample" "Age_of_patient" "Date_that_blood_sample_was_taken" "ml" "m2" "m3" "m4" "class" "int0" "double1" "int2" "class" "nominal:1,2,3,4,5,6,7" "numeric" "numeric" "numeric" "numeric" "numeric" "numeric" "numeric" "nominal:carrier,normal"