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Hypothesis testing for single population > AA ateneo.instructure.com C 0+ 0 Home X Hypothesis Tests for Single Population Cases Table 1 (Continued) Subject LI LT

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Hypothesis testing for single population

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> AA ateneo.instructure.com C 0+ 0 Home X Hypothesis Tests for Single Population Cases Table 1 (Continued) Subject LI LT LU MT NL NO PL PT RO SK SI ES SE UK EUI Total Agricultural sciences 0 48 0 0 80 27 112 69 61 37 23 566 19 23 0 2,717 Architecture, Planning 9 37 4 2 109 19 321 264 64 18 24 854 64 96 0 4,893 Art and design 0 63 4 3 145 69 232 205 87 34 38 905 90 489 0 6,138 Business studies 10 241 15 6 1,089 275 1,342 386 290 169 146 3.244 902 1,332 O 29,187 Education, Teacher training 0 56 43 11 354 92 126 215 47 15 17 602 69 163 0 4,326 Engineering, Technology 0 189 6 9 224 112 752 479 604 106 35 3,109 424 269 O 14,314 Geography, Geology 0 25 8 2 84 5 158 66 147 10 6 450 31 88 0 2,350 Humanities 0 33 2 81 39 171 60 116 22 12 654 48 206 5,215 Languages, Philological 0 92 14 J 253 84 675 334 451 84 97 2,568 121 2,875 O 21,171 sciences Law 0 87 6 31 303 77 429 190 98 25 51 1,413 195 754 9.602 Mathematics, Informatics 0 65 0 1 55 35 301 87 176 23 3 674 46 92 0 4,179 Medical sciences 0 85 8 32 219 142 247 407 209 71 6 1,211 176 232 7,070 O O Natural sciences 0 43 7 4 51 22 361 216 206 29 2 1,062 84 220 5,139 Social sciences 0 97 19 992 137 928 487 355 29 65 1,701 313 585 14,214 UU Communication and 17 264 10 68 155 54 3 19 800 56 83 O 3,589 information science Other areas 0 16 0 85 11 53 162 40 7 2 221 29 32 0 1,482 Total 19 1,194 138 119 4,388 1,156 6,276 3,782 3,005 682 546 20,034 2,667 7,539 10 135,5866:10 . LTE A ateneo.instructure.com - Private Imize File Preview ge 8 of 8 ZOOM Table 3 Sample of Erasmus student enrollments for the academic year 2005-2006 Family name First name Home country Study area Gender Algard Erik Norway Business studies M Aline Gratian Romania Business studies M Andersen Birgitte Brix Denmark Engineering, Technology F Bay Hilde Norway Social sciences F Bednarczyk Tomasz Poland Law M Berberich Remi Germany Engineering, Technology M Berculo Ruwan Netherlands Business studies M Engler Dorothea Germany Geography, Geology F Ernst Folker Germany Business studies M Fouche Elie France Education, Teacher training M Garcia Miguel Spain Communication and M information science Guenin Aurelie France Humanities F Johannessen Sanne Lyng Denmark Business studies F Justnes Petter Norway Languages, Philological M sciences Kauffeldt Ane Katrine Denmark Business studies F Keddie Nikki United Kingdom Mathematics, Informatics F Lorenz Jan Sebastian Germany Business studies M Mallet Guillaume France Business studies M Manzo Margherita Italy Business studies F Margineanu Florin Romania Agricultural sciences M Miechowka Anne Sophie France Engineering, Technology F Mynborg Astrid Denmark Humanities F Napolitano Silvia Italy Architecture, Planning F Neilson Alison United Kingdom Business studies F Ou Kalvin France Education, Teacher training M Rachbauer Thomas Austria Engineering, Technology M Savreux Margaux France Mathematics, Informatics F Seda Jiri Czech Republic Agricultural sciences M Semoradova Petra Czech Republic Natural sciences F Torres Maria Teresa Spain Humanities F Ungerstedt Malin Sweden Law F Ververken Alexander Belgium Languages, Philological M sciences Viscardi Alessandra Italy Business studies F Zawisza Katarzyna Poland Business studies FTable 2 (Continued) Home Country Code LI LT LU MT NL Austria NO PL PT AT 1 RO 12 0 SK 14 SI ES 215 82 SE Belgium 22 60 UK BE 0 8 Total 6 13 16 631 377 40 305 69 410 207 30 3,721 Bulgaria BG 10 23 1,287 149 341 4,789 Cyprus 34 CY 43 9 44 751 Czech Republic CZ 2 3 5 8 203 64 Denmark DK 189 117 286 163 27 317 Estonia 12 3.589 EE 15 259 30 count 10 330 Finland FI 4 1,686 15 30 16 377 26 8 France 15 58 305 60 FR 25 13 6 43 22 29 479 101 891 246 552 314 3,951 Germany 288 DE 167 8 49 30 40 28 862 5,115 1,062 463 395 4,652 GR 283 20,981 Greece 5 27 26 24 4,325 106 17 1,653 14 3 3,159 20,688 Hungary HU 90 0 374 109 145 139 Iceland 42 2,385 IS 125 13 58 109 2,058 hboard Ireland IE 4 36 5 1 10 2 8 13 221 Italy 10 18 IT 28 71 3 291 57 607 156 37 174 1,705 Latvia LV 766 129 29 20 5,688 399 24 1,511 16.829 Liechtenstein 4 LI 32 4 308 Lithuania LT 30 19 Luxembourg 51 LU 0 0 0 0 61 120 22 1,194 Malta 0 MT 6 0 7 0 0 14 3 16 urses 138 Netherlands NL 2 0 10 0 3 1 18 140 Norway 21 93 22 119 NO 0 0 14 3 5 907 389 78 0 36 635 0 4,388 Poland PL 231 294 42 159 1,156 Portugal PT 222 26 0 4 546 250 286 Romania 38 337 125 68 7 6,276 RO 14 920 95 72 178 Slovakia 119 3,782 285 42 oups SK 3 29 SI 30 86 3,005 Slovenia 59 25 17 30 32 682 Spain ES 0 24 0 63 9 1,263 17 29 200 176 992 546 Sweden SE 0 11 0 59 32 11 670 236 22 United Kingdom 22 24 2,974 UK 0 25 3 20,034 3 0 0 6 12 370 365 69 494 EUI* 42 97 2,667 EUR 10 16 6 1,636 238 7.539 Total 11 218 14 253 6,733 1,523 1,459 3,766 2 10 lendar *European University Institute, Florence 536 181 201 24,076 6,082 16,628 135,586orations Table 2 Erasmus students 2003-2007 by home country and host country Home Country Code AT BE BG CY CZ Austria DK LEE FI FR AT DE 79 3 GR 5 HU IS 51 IE 104 IT Belgium 7 LV BE 227 528 105 262 30 30 11 15 51 132 461 Bulgaria 84 5 BG 218 768 52 306 46 75 28 3 467 Cyprus 14 121 16 CY 136 0 227 62 0 2 6 39 Czech Republic 14 9 CZ 211 4 134 13 0 3 Denmark 103 DK 241 70 510 931 44 78 43 2 19 180 Estonia 2 5 EE 16 260 10 302 13 3 12 36 111 Finland 19 47 FI 229 42 59 148 6 9 2 126 26 37 France 35 FR 413 654 361 420 72 162 10 14 111 206 190 500 Germany 21 727 DE 2,804 387 17 218 169 330 7 23 1,081 Greece 207 1,550 410 25 GR 918 71 3,997 140 6 165 8 171 47 63 926 Hungary 45 1,755 HU 116 23 420 110 356 98 20 2 27 Iceland 44 248 IS 201 10 276 4 566 42 15 227 Ireland 54 IE 35 26 47 40 3 2 26 30 40 16 Italy 6 IT 339 2 557 292 633 8 7 12 5 86 357 109 Latvia 28 367 LV 2.859 8 1.994 27 180 129 29 13 230 Liechtenstein 42 LI 18 0 0 111 2 2 9 2 Lithuania 3 LT 49 1 70 Luxembourg 145 LU 180 17 77 1 294 18 0 0 2 10 Malta 2 67 0 27 MT 4 5 39 0 0 0 0 9 0 0 2 Netherlands 0 6 NL 98 3 6 184 1 0 0 44 Norway 158 6 7 52 275 NO 50 543 28 0 391 0 42 0 49 11 88 0 256 6 Poland 53 15 PL 159 156 190 358 15 0 0 17 85 0 Portugal 362 310 855 PT 53 1.870 250 122 8 74 103 481 63 Romania 95 325 295 RO 38 163 53 59 4 19 Slovakia 29 713 33 SK 44 1,125 50 457 87 21 448 Slovenia 11 SI 52 80 59 191 30 24 2 19 58 Spain ES 24 62 298 1,054 125 6 11 0 169 573 56 Sweden 12 SE 501 142 3,412 2,553 42 178 0 67 0 21 38 25 513 4.250 United Kingdom 10 24 UK 484 143 5 426 117 17 28 4 9 107 80 EUI 136 137 8 233 EUR 2 2,303 1,127 60 31 9 21 740 Total 3,161 4,513 90 62 1,298 3,396 166 *European University Institute, Florence 4,932 20,275 16,874 1,593 951 199 3,587 12,743 65Table 1 Students by field of study 2003-2004 according to home country Subject AT BE BG CY CZ DK EE FI FR DE GR HU IS IE IT LV Agricultural sciences 37 156 51 0 187 18 6 64 398 181 81 136 3 3 317 Architecture, Planning 14 128 163 32 0 168 54 12 30 519 762 149 75 0 30 877 9 Art and design 193 209 42 0 182 60 47 326 651 906 143 114 24 90 756 31 Business studies 1,117 1,089 97 7 584 364 47 1,383 6,573 5.023 306 450 56 593 1,963 88 Education, Teacher training 260 414 12 24 228 74 2 100 320 535 81 126 22 24 267 27 Engineering, Technology 248 384 133 3 481 112 22 487 2,833 1,376 143 147 20 52 1,545 10 Geography, Geology 32 28 12 0 90 27 9 33 259 433 46 66 3 12 206 14 Humanities 147 105 14 0 148 141 9 136 598 1,048 131 64 13 51 1,144 13 Languages, Philological 505 603 73 15 464 346 51 316 3,321 3,528 327 248 47 305 3,346 21 sciences Law 231 357 37 0 185 103 28 117 1,449 1,474 191 159 7 142 1.455 7 Mathematics, Informatics 146 139 86 0 123 20 4 108 570 803 104 64 4 45 392 13 Medical sciences 144 349 60 12 222 115 12 291 399 1,021 172 125 A 46 1,045 8 Natural sciences 143 51 33 0 113 33 4 93 843 879 87 29 62 453 6 Social sciences 250 500 48 w 309 171 32 307 1,787 2,067 343 200 15 210 2,220 38 Communication and 112 212 19 0 14 44 12 100 295 425 38 23 0 32 723 5 information science Other areas 28 30 2 0 91 4 8 60 166 227 43 32 0 8 120 4 Total 3,721 4,789 751 64 3,589 1,686 305 3,951 20,981 20,688 2,385 2,058 221 1,705 16,829 308Socrates and Erasmus The Socrates 11 European program supports cooperation in education in eight areas, from school to higher education, from new technologies, to adult learners. Within Socrates II is the program Erasmus that was established in 1987 with the objective to facilitate the mobility of higher education students within European universities. The program is named aer the philosopher, theologian, and humanist, Erasmus of Rotterdam (1465 1536). Erasmus lived and worked in several parts of Europe in quest of knowledge and experience believing such contacts with different cultures could only furnish a broad knowledge. He left his fortune to the University of Basel and became a precursor of mobility grants. The Erasmus program has 31 participating countries that include the 25 member states of the European Union, the iree European Economic area countries of Iceland, Liechtenstein, and Norway, and the current three candidate countries Romania, Bulgaria, and Turkey. The program is open to universities for all higher education programs including doctoral courses. In between the academic years 1987 1988 to 2003 2004 more than 1 million university students had spent an Erasmus period abroad and there are 2,199 higher education institutions participating in the program. The European Union budget for 2000 2006 is 950 million of which about 750 million is for student grants. In the academic year 2003 2004, the Erasmus students according to their country of origin and their country of study, or host country is given in the cross-classication Table 1 and the eld of study for these students according to their home country is given in Table 2. It is the target of the Erasmus program to have a balance in the gender mix and the program administrators felt that the prole for subsequent academic years would be similar to the prole for the academic year 2003 2004. Required A sample of random data for the Erasmus program for the academic year 2005 2006 was provided by the registrar's office and this is given in Table 3. Does this information bear out the program administrator's belief if this is tested at the 1%, 5%, and 10% signicance level for a difference

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