Jak cię złapią, to znaczy, że oszukiwałeś. Jak nie, to znaczy, że posłużyłeś się odpowiednią taktyką.
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710.7 184.8 Manufacturing Commun. Psychiatric Centers 278 205 853 44.8 50.5 3.8 Medical Hospital Corp of America 6259 4152 3090 283.7 524.5 62.0 Medical 456 B Data AH Robins 707 706 275 61.4 77.8 6.1 Medical Shared Medical Systems 252 312 883 41.7 60.6 3.3 Medical Air Products 2687 1870 1890 145.7 352.2 18.2 Other Allied Signal 13271 9115 8190 -279.0 83.0 143.8 Other Bally Manufactoring 1529 1295 444 25.6 137.0 19.4 Other Crown Cork & Seal 866 1487 944 71.7 115.4 12.6 Other Ex-Cell-0 799 1140 633 57.6 89.2 15.4 Other Liz Claiborne 223 557 1040 60.6 63.7 1.9 Other Warner Communications 2286 2235 2306 195.3 219.0 8.0 Other Dayton-Hudson 4418 8793 4459 283.6 456.5 128.0 Retail Dillard Department Stores 862 160l 1093 66.9 106.8 16.0 Retail Giant Food 623 2247 797 57.0 93.8 18.6 Retail Great A & P Tea 1608 6615 829 56.1 134.0 65.0 Retail Kroger 4178 17124 2091 180.8 390.4 164.6 Retail May Department Stores 3442 5080 2673 235.4 361.5 77.3 Retail Stop & Shop Cos 1112 3689 542 30.3 96.9 43.5 Retail Supermarkets General 1104 5123 910 63.7 133.3 48.5 Retail Wickes Cos 2957 2806 457 40.6 93.5 50.0 Retail FW Woolworth 2535 5958 1921 177.0 288.0 118.1 Retail AMR 6425 6131 2448 345.8 682.5 49.5 Transportation IU International 999 1878 393 -173.5 -108.1 23.3 Transportation PanAm 2448 3484 1036 48.8 257.1 25.4 Transportation Republic Airlines 1286 1734 361 69.2 145.7 14.3 Transportation TWA 2769 3725 663 -208.4 12.4 29.1 Transportation Western AirLines 952 1307 309 35.4 92.8 10.3 Transportation B.6 French Food Data 457 B.6 French Food Data The data set consists of the average expenditures on food for several different types of families in France (manual workers = MA, employees = EM, managers = CA) with different numbers of children (2,3,4 or 5 children). The data is taken from Lebart, Morineau and Fénelon (1982). bread vegetables fruits meat poultry milk wine 1 MA2 332 428 354 1437 526 247 427 2 EM2 293 559 388 1527 567 239 258 3 CA2 372 767 562 1948 927 235 433 4 MA3 406 563 341 1507 544 324 407 5 EM3 386 608 396 1501 558 319 363 6 CA3 438 843 689 2345 1148 243 341 7 MA4 534 660 367 1620 638 414 407 8 EM4 460 699 484 1856 762 400 416 9 CA4 385 789 621 2366 1149 304 282 10 MA5 655 776 423 1848 759 495 486 11 EM5 584 995 548 2056 893 518 319 12 CA5 515 1097 887 2630 1167 561 284 x 446,7 737,8 505,0 1886,7 803,2 358,2 368,6 sX 102,6 172,2 158,1 378,9 238,9 112,1 68,7 iXi 458 B Data B.7 Car Marks The data are averaged marks for 24 car types from a sample of 40 persons. The marks range from 1 (very good) to 6 (very bad) like German school marks. The variables are: X1: A Economy, X2: B Service, X3: C Non-depreciation of value, X4: D Price, Mark 1 for very cheap cars X5: E Design, X6: F Sporty car, X7: G Safety, X8: H Easy handling. Type Model Economy Service Value Price Design Sport. Safety Easy h. Audi 100 3.9 2.8 2.2 4.2 3.0 3.1 2.4 2.8 BMW 5 series 4.8 1.6 1.9 5.0 2.0 2.5 1.6 2.8 Citroen AX 3.0 3.8 3.8 2.7 4.0 4.4 4.0 2.6 Ferrari 5.3 2.9 2.2 5.9 1.7 1.1 3.3 4.3 Fiat Uno 2.1 3.9 4.0 2.6 4.5 4.4 4.4 2.2 Ford Fiesta 2.3 3.1 3.4 2.6 3.2 3.3 3.6 2.8 Hyundai 2.5 3.4 3.2 2.2 3.3 3.3 3.3 2.4 Jaguar 4.6 2.4 1.6 5.5 1.3 1.6 2.8 3.6 Lada Samara 3.2 3.9 4.3 2.0 4.3 4.5 4.7 2.9 Mazda 323 2.6 3.3 3.7 2.8 3.7 3.0 3.7 3.1 Mercedes 200 4.1 1.7 1.8 4.6 2.4 3.2 1.4 2.4 Mitsubishi Galant 3.2 2.9 3.2 3.5 3.1 3.1 2.9 2.6 Nissan Sunny 2.6 3.3 3.9 2.1 3.5 3.9 3.8 2.4 Opel Corsa 2.2 2.4 3.0 2.6 3.2 4.0 2.9 2.4 Opel Vectra 3.1 2.6 2.3 3.6 2.8 2.9 2.4 2.4 Peugeot 306 2.9 3.5 3.6 2.8 3.2 3.8 3.2 2.6 Renault 19 2.7 3.3 3.4 3.0 3.1 3.4 3.0 2.7 Rover 3.9 2.8 2.6 4.0 2.6 3.0 3.2 3.0 Toyota Corolla 2.5 2.9 3.4 3.0 3.2 3.1 3.2 2.8 Volvo 3.8 2.3 1.9 4.2 3.1 3.6 1.6 2.4 Trabant 601 3.6 4.7 5.5 1.5 4.1 5.8 5.9 3.1 VW Golf 2.4 2.1 2.0 2.6 3.2 3.1 3.1 1.6 VW Passat 3.1 2.2 2.1 3.2 3.5 3.5 2.8 1.8 Wartburg 1.3 3.7 4.7 5.5 1.7 4.8 5.2 5.5 4.0 B.8 French Baccalauréat Frequencies 459 B.8 French Baccalauréat Frequencies The data consists of observations of 202100 baccalauréats from France in 1976 and give the frequencies for different sets of modalities classified into regions. For a reference see Bourouche and Saporta (1980). The variables (modalities) are: X1: A Philosophy-Letters, X2: B Economics and Social Sciences, X3: C Mathematics and Physics, X4: D Mathematics and Natural Sciences, X5: E Mathematics and Techniques, X6: F Industrial Techniques, X7: G Economic Techniques, X8: H Computer Techniques. Abbrev. Region A B C D E F G H total ILDF Ile-de-France 9724 5650 8679 9432 839 3353 5355 83 43115 CHAM Champagne-Ardennes 924 464 567 984 132 423 736 12 4242 PICA Picardie 1081 490 830 1222 118 410 743 13 4907 HNOR Haute-Normandie 1135 587 686 904 83 629 813 13 4850 CENT Centre 1482 667 1020 1535 173 629 989 26 6521 BNOR Basse-Normandie 1033 509 553 1063 100 433 742 13 4446 BOUR Bourgogne 1272 527 861 1116 219 769 1232 13 6009 NOPC Nord - Pas-de-Calais 2549 1141 2164 2752 587 1660 1951 41 12845 LORR Lorraine 1828 681 1364 1741 302 1289 1683 15 8903 ALSA Alsace 1076 443 880 1121 145 917 1091 15 5688 FRAC Franche-Comté 827 333 481 892 137 451 618 18 3757 PAYL Pays de la Loire 2213 809 1439 2623 269 990 1783 14 10140 BRET Bretagne 2158 1271 1633 2352 350 950 1509 22 10245 PCHA Poitou-Charentes 1358 503 639 1377 164 495 959 10 5505
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