#Examen Unidad 3 Probabilidad y Estadistica
#Sergio Fabela Valenzuela
#2)
crimenes <- data.frame(crimtab)
crimenes
## Var1 Var2 Freq
## 1 9.4 142.24 0
## 2 9.5 142.24 0
## 3 9.6 142.24 0
## 4 9.7 142.24 0
## 5 9.8 142.24 0
## 6 9.9 142.24 0
## 7 10 142.24 1
## 8 10.1 142.24 0
## 9 10.2 142.24 0
## 10 10.3 142.24 0
## 11 10.4 142.24 0
## 12 10.5 142.24 0
## 13 10.6 142.24 0
## 14 10.7 142.24 0
## 15 10.8 142.24 0
## 16 10.9 142.24 0
## 17 11 142.24 0
## 18 11.1 142.24 0
## 19 11.2 142.24 0
## 20 11.3 142.24 0
## 21 11.4 142.24 0
## 22 11.5 142.24 0
## 23 11.6 142.24 0
## 24 11.7 142.24 0
## 25 11.8 142.24 0
## 26 11.9 142.24 0
## 27 12 142.24 0
## 28 12.1 142.24 0
## 29 12.2 142.24 0
## 30 12.3 142.24 0
## 31 12.4 142.24 0
## 32 12.5 142.24 0
## 33 12.6 142.24 0
## 34 12.7 142.24 0
## 35 12.8 142.24 0
## 36 12.9 142.24 0
## 37 13 142.24 0
## 38 13.1 142.24 0
## 39 13.2 142.24 0
## 40 13.3 142.24 0
## 41 13.4 142.24 0
## 42 13.5 142.24 0
## 43 9.4 144.78 0
## 44 9.5 144.78 0
## 45 9.6 144.78 0
## 46 9.7 144.78 0
## 47 9.8 144.78 0
## 48 9.9 144.78 0
## 49 10 144.78 0
## 50 10.1 144.78 0
## 51 10.2 144.78 0
## 52 10.3 144.78 1
## 53 10.4 144.78 0
## 54 10.5 144.78 0
## 55 10.6 144.78 0
## 56 10.7 144.78 0
## 57 10.8 144.78 0
## 58 10.9 144.78 0
## 59 11 144.78 0
## 60 11.1 144.78 0
## 61 11.2 144.78 0
## 62 11.3 144.78 0
## 63 11.4 144.78 0
## 64 11.5 144.78 0
## 65 11.6 144.78 0
## 66 11.7 144.78 0
## 67 11.8 144.78 0
## 68 11.9 144.78 0
## 69 12 144.78 0
## 70 12.1 144.78 0
## 71 12.2 144.78 0
## 72 12.3 144.78 0
## 73 12.4 144.78 0
## 74 12.5 144.78 0
## 75 12.6 144.78 0
## 76 12.7 144.78 0
## 77 12.8 144.78 0
## 78 12.9 144.78 0
## 79 13 144.78 0
## 80 13.1 144.78 0
## 81 13.2 144.78 0
## 82 13.3 144.78 0
## 83 13.4 144.78 0
## 84 13.5 144.78 0
## 85 9.4 147.32 0
## 86 9.5 147.32 0
## 87 9.6 147.32 0
## 88 9.7 147.32 0
## 89 9.8 147.32 0
## 90 9.9 147.32 1
## 91 10 147.32 0
## 92 10.1 147.32 0
## 93 10.2 147.32 2
## 94 10.3 147.32 1
## 95 10.4 147.32 1
## 96 10.5 147.32 0
## 97 10.6 147.32 0
## 98 10.7 147.32 1
## 99 10.8 147.32 0
## 100 10.9 147.32 0
## 101 11 147.32 0
## 102 11.1 147.32 0
## 103 11.2 147.32 0
## 104 11.3 147.32 0
## 105 11.4 147.32 0
## 106 11.5 147.32 0
## 107 11.6 147.32 0
## 108 11.7 147.32 0
## 109 11.8 147.32 0
## 110 11.9 147.32 0
## 111 12 147.32 0
## 112 12.1 147.32 0
## 113 12.2 147.32 0
## 114 12.3 147.32 0
## 115 12.4 147.32 0
## 116 12.5 147.32 0
## 117 12.6 147.32 0
## 118 12.7 147.32 0
## 119 12.8 147.32 0
## 120 12.9 147.32 0
## 121 13 147.32 0
## 122 13.1 147.32 0
## 123 13.2 147.32 0
## 124 13.3 147.32 0
## 125 13.4 147.32 0
## 126 13.5 147.32 0
## 127 9.4 149.86 0
## 128 9.5 149.86 0
## 129 9.6 149.86 0
## 130 9.7 149.86 0
## 131 9.8 149.86 0
## 132 9.9 149.86 0
## 133 10 149.86 1
## 134 10.1 149.86 1
## 135 10.2 149.86 2
## 136 10.3 149.86 3
## 137 10.4 149.86 1
## 138 10.5 149.86 1
## 139 10.6 149.86 1
## 140 10.7 149.86 2
## 141 10.8 149.86 2
## 142 10.9 149.86 0
## 143 11 149.86 2
## 144 11.1 149.86 3
## 145 11.2 149.86 3
## 146 11.3 149.86 1
## 147 11.4 149.86 0
## 148 11.5 149.86 0
## 149 11.6 149.86 0
## 150 11.7 149.86 0
## 151 11.8 149.86 0
## 152 11.9 149.86 0
## 153 12 149.86 0
## 154 12.1 149.86 0
## 155 12.2 149.86 0
## 156 12.3 149.86 0
## 157 12.4 149.86 0
## 158 12.5 149.86 0
## 159 12.6 149.86 0
## 160 12.7 149.86 0
## 161 12.8 149.86 0
## 162 12.9 149.86 0
## 163 13 149.86 0
## 164 13.1 149.86 0
## 165 13.2 149.86 0
## 166 13.3 149.86 0
## 167 13.4 149.86 0
## 168 13.5 149.86 0
## 169 9.4 152.4 0
## 170 9.5 152.4 0
## 171 9.6 152.4 0
## 172 9.7 152.4 0
## 173 9.8 152.4 0
## 174 9.9 152.4 1
## 175 10 152.4 2
## 176 10.1 152.4 3
## 177 10.2 152.4 2
## 178 10.3 152.4 2
## 179 10.4 152.4 2
## 180 10.5 152.4 3
## 181 10.6 152.4 4
## 182 10.7 152.4 4
## 183 10.8 152.4 5
## 184 10.9 152.4 2
## 185 11 152.4 6
## 186 11.1 152.4 3
## 187 11.2 152.4 2
## 188 11.3 152.4 0
## 189 11.4 152.4 3
## 190 11.5 152.4 0
## 191 11.6 152.4 2
## 192 11.7 152.4 0
## 193 11.8 152.4 1
## 194 11.9 152.4 1
## 195 12 152.4 0
## 196 12.1 152.4 0
## 197 12.2 152.4 0
## 198 12.3 152.4 0
## 199 12.4 152.4 0
## 200 12.5 152.4 0
## 201 12.6 152.4 0
## 202 12.7 152.4 0
## 203 12.8 152.4 0
## 204 12.9 152.4 0
## 205 13 152.4 0
## 206 13.1 152.4 0
## 207 13.2 152.4 0
## 208 13.3 152.4 0
## 209 13.4 152.4 0
## 210 13.5 152.4 0
## 211 9.4 154.94 0
## 212 9.5 154.94 1
## 213 9.6 154.94 0
## 214 9.7 154.94 0
## 215 9.8 154.94 0
## 216 9.9 154.94 0
## 217 10 154.94 0
## 218 10.1 154.94 1
## 219 10.2 154.94 1
## 220 10.3 154.94 2
## 221 10.4 154.94 3
## 222 10.5 154.94 7
## 223 10.6 154.94 5
## 224 10.7 154.94 9
## 225 10.8 154.94 6
## 226 10.9 154.94 6
## 227 11 154.94 12
## 228 11.1 154.94 12
## 229 11.2 154.94 7
## 230 11.3 154.94 5
## 231 11.4 154.94 4
## 232 11.5 154.94 5
## 233 11.6 154.94 1
## 234 11.7 154.94 2
## 235 11.8 154.94 0
## 236 11.9 154.94 1
## 237 12 154.94 0
## 238 12.1 154.94 0
## 239 12.2 154.94 0
## 240 12.3 154.94 0
## 241 12.4 154.94 0
## 242 12.5 154.94 0
## 243 12.6 154.94 0
## 244 12.7 154.94 0
## 245 12.8 154.94 0
## 246 12.9 154.94 0
## 247 13 154.94 0
## 248 13.1 154.94 0
## 249 13.2 154.94 0
## 250 13.3 154.94 0
## 251 13.4 154.94 0
## 252 13.5 154.94 0
## 253 9.4 157.48 0
## 254 9.5 157.48 0
## 255 9.6 157.48 0
## 256 9.7 157.48 0
## 257 9.8 157.48 1
## 258 9.9 157.48 1
## 259 10 157.48 2
## 260 10.1 157.48 0
## 261 10.2 157.48 0
## 262 10.3 157.48 3
## 263 10.4 157.48 3
## 264 10.5 157.48 6
## 265 10.6 157.48 9
## 266 10.7 157.48 14
## 267 10.8 157.48 14
## 268 10.9 157.48 14
## 269 11 157.48 15
## 270 11.1 157.48 22
## 271 11.2 157.48 21
## 272 11.3 157.48 10
## 273 11.4 157.48 9
## 274 11.5 157.48 11
## 275 11.6 157.48 4
## 276 11.7 157.48 9
## 277 11.8 157.48 2
## 278 11.9 157.48 2
## 279 12 157.48 1
## 280 12.1 157.48 0
## 281 12.2 157.48 1
## 282 12.3 157.48 0
## 283 12.4 157.48 1
## 284 12.5 157.48 0
## 285 12.6 157.48 0
## 286 12.7 157.48 0
## 287 12.8 157.48 0
## 288 12.9 157.48 0
## 289 13 157.48 0
## 290 13.1 157.48 0
## 291 13.2 157.48 0
## 292 13.3 157.48 0
## 293 13.4 157.48 0
## 294 13.5 157.48 0
## 295 9.4 160.02 0
## 296 9.5 160.02 0
## 297 9.6 160.02 0
## 298 9.7 160.02 0
## 299 9.8 160.02 0
## 300 9.9 160.02 0
## 301 10 160.02 0
## 302 10.1 160.02 1
## 303 10.2 160.02 2
## 304 10.3 160.02 5
## 305 10.4 160.02 4
## 306 10.5 160.02 4
## 307 10.6 160.02 14
## 308 10.7 160.02 16
## 309 10.8 160.02 27
## 310 10.9 160.02 24
## 311 11 160.02 31
## 312 11.1 160.02 26
## 313 11.2 160.02 30
## 314 11.3 160.02 24
## 315 11.4 160.02 29
## 316 11.5 160.02 17
## 317 11.6 160.02 13
## 318 11.7 160.02 17
## 319 11.8 160.02 11
## 320 11.9 160.02 12
## 321 12 160.02 4
## 322 12.1 160.02 2
## 323 12.2 160.02 2
## 324 12.3 160.02 0
## 325 12.4 160.02 1
## 326 12.5 160.02 1
## 327 12.6 160.02 0
## 328 12.7 160.02 0
## 329 12.8 160.02 0
## 330 12.9 160.02 0
## 331 13 160.02 0
## 332 13.1 160.02 0
## 333 13.2 160.02 0
## 334 13.3 160.02 0
## 335 13.4 160.02 0
## 336 13.5 160.02 0
## 337 9.4 162.56 0
## 338 9.5 162.56 0
## 339 9.6 162.56 0
## 340 9.7 162.56 0
## 341 9.8 162.56 0
## 342 9.9 162.56 0
## 343 10 162.56 0
## 344 10.1 162.56 1
## 345 10.2 162.56 0
## 346 10.3 162.56 0
## 347 10.4 162.56 3
## 348 10.5 162.56 3
## 349 10.6 162.56 6
## 350 10.7 162.56 15
## 351 10.8 162.56 10
## 352 10.9 162.56 27
## 353 11 162.56 37
## 354 11.1 162.56 24
## 355 11.2 162.56 38
## 356 11.3 162.56 26
## 357 11.4 162.56 56
## 358 11.5 162.56 33
## 359 11.6 162.56 37
## 360 11.7 162.56 30
## 361 11.8 162.56 15
## 362 11.9 162.56 10
## 363 12 162.56 8
## 364 12.1 162.56 4
## 365 12.2 162.56 5
## 366 12.3 162.56 4
## 367 12.4 162.56 1
## 368 12.5 162.56 0
## 369 12.6 162.56 0
## 370 12.7 162.56 0
## 371 12.8 162.56 0
## 372 12.9 162.56 0
## 373 13 162.56 0
## 374 13.1 162.56 0
## 375 13.2 162.56 0
## 376 13.3 162.56 0
## 377 13.4 162.56 0
## 378 13.5 162.56 0
## 379 9.4 165.1 0
## 380 9.5 165.1 0
## 381 9.6 165.1 0
## 382 9.7 165.1 0
## 383 9.8 165.1 0
## 384 9.9 165.1 0
## 385 10 165.1 1
## 386 10.1 165.1 0
## 387 10.2 165.1 1
## 388 10.3 165.1 0
## 389 10.4 165.1 3
## 390 10.5 165.1 1
## 391 10.6 165.1 3
## 392 10.7 165.1 7
## 393 10.8 165.1 7
## 394 10.9 165.1 14
## 395 11 165.1 27
## 396 11.1 165.1 26
## 397 11.2 165.1 29
## 398 11.3 165.1 39
## 399 11.4 165.1 58
## 400 11.5 165.1 57
## 401 11.6 165.1 39
## 402 11.7 165.1 37
## 403 11.8 165.1 35
## 404 11.9 165.1 27
## 405 12 165.1 19
## 406 12.1 165.1 13
## 407 12.2 165.1 6
## 408 12.3 165.1 8
## 409 12.4 165.1 2
## 410 12.5 165.1 1
## 411 12.6 165.1 1
## 412 12.7 165.1 1
## 413 12.8 165.1 0
## 414 12.9 165.1 0
## 415 13 165.1 0
## 416 13.1 165.1 0
## 417 13.2 165.1 0
## 418 13.3 165.1 0
## 419 13.4 165.1 0
## 420 13.5 165.1 0
## 421 9.4 167.64 0
## 422 9.5 167.64 0
## 423 9.6 167.64 0
## 424 9.7 167.64 0
## 425 9.8 167.64 0
## 426 9.9 167.64 0
## 427 10 167.64 0
## 428 10.1 167.64 0
## 429 10.2 167.64 0
## 430 10.3 167.64 0
## 431 10.4 167.64 0
## 432 10.5 167.64 3
## 433 10.6 167.64 1
## 434 10.7 167.64 3
## 435 10.8 167.64 1
## 436 10.9 167.64 10
## 437 11 167.64 17
## 438 11.1 167.64 24
## 439 11.2 167.64 27
## 440 11.3 167.64 26
## 441 11.4 167.64 26
## 442 11.5 167.64 38
## 443 11.6 167.64 48
## 444 11.7 167.64 48
## 445 11.8 167.64 41
## 446 11.9 167.64 32
## 447 12 167.64 42
## 448 12.1 167.64 22
## 449 12.2 167.64 23
## 450 12.3 167.64 10
## 451 12.4 167.64 7
## 452 12.5 167.64 3
## 453 12.6 167.64 0
## 454 12.7 167.64 1
## 455 12.8 167.64 1
## 456 12.9 167.64 0
## 457 13 167.64 3
## 458 13.1 167.64 0
## 459 13.2 167.64 1
## 460 13.3 167.64 0
## 461 13.4 167.64 0
## 462 13.5 167.64 0
## 463 9.4 170.18 0
## 464 9.5 170.18 0
## 465 9.6 170.18 0
## 466 9.7 170.18 0
## 467 9.8 170.18 0
## 468 9.9 170.18 0
## 469 10 170.18 0
## 470 10.1 170.18 0
## 471 10.2 170.18 0
## 472 10.3 170.18 0
## 473 10.4 170.18 0
## 474 10.5 170.18 1
## 475 10.6 170.18 0
## 476 10.7 170.18 1
## 477 10.8 170.18 2
## 478 10.9 170.18 4
## 479 11 170.18 10
## 480 11.1 170.18 7
## 481 11.2 170.18 20
## 482 11.3 170.18 24
## 483 11.4 170.18 22
## 484 11.5 170.18 34
## 485 11.6 170.18 38
## 486 11.7 170.18 45
## 487 11.8 170.18 34
## 488 11.9 170.18 35
## 489 12 170.18 39
## 490 12.1 170.18 28
## 491 12.2 170.18 17
## 492 12.3 170.18 13
## 493 12.4 170.18 12
## 494 12.5 170.18 12
## 495 12.6 170.18 3
## 496 12.7 170.18 7
## 497 12.8 170.18 2
## 498 12.9 170.18 1
## 499 13 170.18 0
## 500 13.1 170.18 1
## 501 13.2 170.18 1
## 502 13.3 170.18 0
## 503 13.4 170.18 0
## 504 13.5 170.18 0
## 505 9.4 172.72 0
## 506 9.5 172.72 0
## 507 9.6 172.72 0
## 508 9.7 172.72 0
## 509 9.8 172.72 0
## 510 9.9 172.72 0
## 511 10 172.72 0
## 512 10.1 172.72 0
## 513 10.2 172.72 0
## 514 10.3 172.72 0
## 515 10.4 172.72 0
## 516 10.5 172.72 0
## 517 10.6 172.72 0
## 518 10.7 172.72 2
## 519 10.8 172.72 1
## 520 10.9 172.72 1
## 521 11 172.72 6
## 522 11.1 172.72 4
## 523 11.2 172.72 4
## 524 11.3 172.72 7
## 525 11.4 172.72 10
## 526 11.5 172.72 25
## 527 11.6 172.72 27
## 528 11.7 172.72 24
## 529 11.8 172.72 29
## 530 11.9 172.72 19
## 531 12 172.72 22
## 532 12.1 172.72 15
## 533 12.2 172.72 16
## 534 12.3 172.72 20
## 535 12.4 172.72 4
## 536 12.5 172.72 11
## 537 12.6 172.72 5
## 538 12.7 172.72 5
## 539 12.8 172.72 3
## 540 12.9 172.72 2
## 541 13 172.72 1
## 542 13.1 172.72 1
## 543 13.2 172.72 0
## 544 13.3 172.72 0
## 545 13.4 172.72 0
## 546 13.5 172.72 0
## 547 9.4 175.26 0
## 548 9.5 175.26 0
## 549 9.6 175.26 0
## 550 9.7 175.26 0
## 551 9.8 175.26 0
## 552 9.9 175.26 0
## 553 10 175.26 0
## 554 10.1 175.26 0
## 555 10.2 175.26 0
## 556 10.3 175.26 0
## 557 10.4 175.26 0
## 558 10.5 175.26 1
## 559 10.6 175.26 1
## 560 10.7 175.26 0
## 561 10.8 175.26 0
## 562 10.9 175.26 0
## 563 11 175.26 0
## 564 11.1 175.26 1
## 565 11.2 175.26 1
## 566 11.3 175.26 2
## 567 11.4 175.26 11
## 568 11.5 175.26 11
## 569 11.6 175.26 12
## 570 11.7 175.26 9
## 571 11.8 175.26 10
## 572 11.9 175.26 10
## 573 12 175.26 16
## 574 12.1 175.26 27
## 575 12.2 175.26 11
## 576 12.3 175.26 23
## 577 12.4 175.26 7
## 578 12.5 175.26 8
## 579 12.6 175.26 7
## 580 12.7 175.26 5
## 581 12.8 175.26 1
## 582 12.9 175.26 2
## 583 13 175.26 0
## 584 13.1 175.26 0
## 585 13.2 175.26 1
## 586 13.3 175.26 0
## 587 13.4 175.26 0
## 588 13.5 175.26 0
## 589 9.4 177.8 0
## 590 9.5 177.8 0
## 591 9.6 177.8 0
## 592 9.7 177.8 0
## 593 9.8 177.8 0
## 594 9.9 177.8 0
## 595 10 177.8 0
## 596 10.1 177.8 0
## 597 10.2 177.8 0
## 598 10.3 177.8 0
## 599 10.4 177.8 0
## 600 10.5 177.8 0
## 601 10.6 177.8 0
## 602 10.7 177.8 0
## 603 10.8 177.8 0
## 604 10.9 177.8 0
## 605 11 177.8 0
## 606 11.1 177.8 0
## 607 11.2 177.8 0
## 608 11.3 177.8 0
## 609 11.4 177.8 0
## 610 11.5 177.8 2
## 611 11.6 177.8 2
## 612 11.7 177.8 9
## 613 11.8 177.8 5
## 614 11.9 177.8 9
## 615 12 177.8 8
## 616 12.1 177.8 10
## 617 12.2 177.8 8
## 618 12.3 177.8 6
## 619 12.4 177.8 7
## 620 12.5 177.8 6
## 621 12.6 177.8 8
## 622 12.7 177.8 8
## 623 12.8 177.8 8
## 624 12.9 177.8 0
## 625 13 177.8 1
## 626 13.1 177.8 0
## 627 13.2 177.8 0
## 628 13.3 177.8 0
## 629 13.4 177.8 0
## 630 13.5 177.8 0
## 631 9.4 180.34 0
## 632 9.5 180.34 0
## 633 9.6 180.34 0
## 634 9.7 180.34 0
## 635 9.8 180.34 0
## 636 9.9 180.34 0
## 637 10 180.34 0
## 638 10.1 180.34 0
## 639 10.2 180.34 0
## 640 10.3 180.34 0
## 641 10.4 180.34 0
## 642 10.5 180.34 0
## 643 10.6 180.34 0
## 644 10.7 180.34 0
## 645 10.8 180.34 0
## 646 10.9 180.34 0
## 647 11 180.34 0
## 648 11.1 180.34 0
## 649 11.2 180.34 0
## 650 11.3 180.34 0
## 651 11.4 180.34 0
## 652 11.5 180.34 0
## 653 11.6 180.34 2
## 654 11.7 180.34 2
## 655 11.8 180.34 1
## 656 11.9 180.34 3
## 657 12 180.34 2
## 658 12.1 180.34 4
## 659 12.2 180.34 1
## 660 12.3 180.34 5
## 661 12.4 180.34 1
## 662 12.5 180.34 8
## 663 12.6 180.34 6
## 664 12.7 180.34 2
## 665 12.8 180.34 5
## 666 12.9 180.34 1
## 667 13 180.34 0
## 668 13.1 180.34 0
## 669 13.2 180.34 3
## 670 13.3 180.34 0
## 671 13.4 180.34 0
## 672 13.5 180.34 0
## 673 9.4 182.88 0
## 674 9.5 182.88 0
## 675 9.6 182.88 0
## 676 9.7 182.88 0
## 677 9.8 182.88 0
## 678 9.9 182.88 0
## 679 10 182.88 0
## 680 10.1 182.88 0
## 681 10.2 182.88 0
## 682 10.3 182.88 0
## 683 10.4 182.88 0
## 684 10.5 182.88 0
## 685 10.6 182.88 0
## 686 10.7 182.88 0
## 687 10.8 182.88 0
## 688 10.9 182.88 0
## 689 11 182.88 0
## 690 11.1 182.88 0
## 691 11.2 182.88 0
## 692 11.3 182.88 0
## 693 11.4 182.88 0
## 694 11.5 182.88 0
## 695 11.6 182.88 0
## 696 11.7 182.88 0
## 697 11.8 182.88 0
## 698 11.9 182.88 1
## 699 12 182.88 2
## 700 12.1 182.88 1
## 701 12.2 182.88 1
## 702 12.3 182.88 0
## 703 12.4 182.88 0
## 704 12.5 182.88 0
## 705 12.6 182.88 3
## 706 12.7 182.88 2
## 707 12.8 182.88 3
## 708 12.9 182.88 1
## 709 13 182.88 2
## 710 13.1 182.88 0
## 711 13.2 182.88 0
## 712 13.3 182.88 1
## 713 13.4 182.88 0
## 714 13.5 182.88 0
## 715 9.4 185.42 0
## 716 9.5 185.42 0
## 717 9.6 185.42 0
## 718 9.7 185.42 0
## 719 9.8 185.42 0
## 720 9.9 185.42 0
## 721 10 185.42 0
## 722 10.1 185.42 0
## 723 10.2 185.42 0
## 724 10.3 185.42 0
## 725 10.4 185.42 0
## 726 10.5 185.42 0
## 727 10.6 185.42 0
## 728 10.7 185.42 0
## 729 10.8 185.42 0
## 730 10.9 185.42 0
## 731 11 185.42 0
## 732 11.1 185.42 0
## 733 11.2 185.42 0
## 734 11.3 185.42 0
## 735 11.4 185.42 0
## 736 11.5 185.42 0
## 737 11.6 185.42 1
## 738 11.7 185.42 0
## 739 11.8 185.42 0
## 740 11.9 185.42 0
## 741 12 185.42 0
## 742 12.1 185.42 0
## 743 12.2 185.42 0
## 744 12.3 185.42 0
## 745 12.4 185.42 0
## 746 12.5 185.42 2
## 747 12.6 185.42 1
## 748 12.7 185.42 0
## 749 12.8 185.42 1
## 750 12.9 185.42 0
## 751 13 185.42 1
## 752 13.1 185.42 0
## 753 13.2 185.42 0
## 754 13.3 185.42 0
## 755 13.4 185.42 0
## 756 13.5 185.42 1
## 757 9.4 187.96 0
## 758 9.5 187.96 0
## 759 9.6 187.96 0
## 760 9.7 187.96 0
## 761 9.8 187.96 0
## 762 9.9 187.96 0
## 763 10 187.96 0
## 764 10.1 187.96 0
## 765 10.2 187.96 0
## 766 10.3 187.96 0
## 767 10.4 187.96 0
## 768 10.5 187.96 0
## 769 10.6 187.96 0
## 770 10.7 187.96 0
## 771 10.8 187.96 0
## 772 10.9 187.96 0
## 773 11 187.96 0
## 774 11.1 187.96 0
## 775 11.2 187.96 0
## 776 11.3 187.96 0
## 777 11.4 187.96 0
## 778 11.5 187.96 0
## 779 11.6 187.96 0
## 780 11.7 187.96 0
## 781 11.8 187.96 0
## 782 11.9 187.96 0
## 783 12 187.96 0
## 784 12.1 187.96 0
## 785 12.2 187.96 0
## 786 12.3 187.96 0
## 787 12.4 187.96 1
## 788 12.5 187.96 0
## 789 12.6 187.96 1
## 790 12.7 187.96 0
## 791 12.8 187.96 1
## 792 12.9 187.96 0
## 793 13 187.96 0
## 794 13.1 187.96 0
## 795 13.2 187.96 0
## 796 13.3 187.96 1
## 797 13.4 187.96 0
## 798 13.5 187.96 0
## 799 9.4 190.5 0
## 800 9.5 190.5 0
## 801 9.6 190.5 0
## 802 9.7 190.5 0
## 803 9.8 190.5 0
## 804 9.9 190.5 0
## 805 10 190.5 0
## 806 10.1 190.5 0
## 807 10.2 190.5 0
## 808 10.3 190.5 0
## 809 10.4 190.5 0
## 810 10.5 190.5 0
## 811 10.6 190.5 0
## 812 10.7 190.5 0
## 813 10.8 190.5 0
## 814 10.9 190.5 0
## 815 11 190.5 0
## 816 11.1 190.5 0
## 817 11.2 190.5 0
## 818 11.3 190.5 0
## 819 11.4 190.5 0
## 820 11.5 190.5 0
## 821 11.6 190.5 0
## 822 11.7 190.5 0
## 823 11.8 190.5 0
## 824 11.9 190.5 0
## 825 12 190.5 0
## 826 12.1 190.5 0
## 827 12.2 190.5 0
## 828 12.3 190.5 0
## 829 12.4 190.5 0
## 830 12.5 190.5 0
## 831 12.6 190.5 0
## 832 12.7 190.5 0
## 833 12.8 190.5 0
## 834 12.9 190.5 0
## 835 13 190.5 0
## 836 13.1 190.5 0
## 837 13.2 190.5 0
## 838 13.3 190.5 0
## 839 13.4 190.5 0
## 840 13.5 190.5 0
## 841 9.4 193.04 0
## 842 9.5 193.04 0
## 843 9.6 193.04 0
## 844 9.7 193.04 0
## 845 9.8 193.04 0
## 846 9.9 193.04 0
## 847 10 193.04 0
## 848 10.1 193.04 0
## 849 10.2 193.04 0
## 850 10.3 193.04 0
## 851 10.4 193.04 0
## 852 10.5 193.04 0
## 853 10.6 193.04 0
## 854 10.7 193.04 0
## 855 10.8 193.04 0
## 856 10.9 193.04 0
## 857 11 193.04 0
## 858 11.1 193.04 0
## 859 11.2 193.04 0
## 860 11.3 193.04 0
## 861 11.4 193.04 0
## 862 11.5 193.04 0
## 863 11.6 193.04 0
## 864 11.7 193.04 0
## 865 11.8 193.04 0
## 866 11.9 193.04 0
## 867 12 193.04 0
## 868 12.1 193.04 0
## 869 12.2 193.04 0
## 870 12.3 193.04 0
## 871 12.4 193.04 0
## 872 12.5 193.04 0
## 873 12.6 193.04 0
## 874 12.7 193.04 0
## 875 12.8 193.04 0
## 876 12.9 193.04 0
## 877 13 193.04 0
## 878 13.1 193.04 0
## 879 13.2 193.04 0
## 880 13.3 193.04 0
## 881 13.4 193.04 0
## 882 13.5 193.04 0
## 883 9.4 195.58 0
## 884 9.5 195.58 0
## 885 9.6 195.58 0
## 886 9.7 195.58 0
## 887 9.8 195.58 0
## 888 9.9 195.58 0
## 889 10 195.58 0
## 890 10.1 195.58 0
## 891 10.2 195.58 0
## 892 10.3 195.58 0
## 893 10.4 195.58 0
## 894 10.5 195.58 0
## 895 10.6 195.58 0
## 896 10.7 195.58 0
## 897 10.8 195.58 0
## 898 10.9 195.58 0
## 899 11 195.58 0
## 900 11.1 195.58 0
## 901 11.2 195.58 1
## 902 11.3 195.58 0
## 903 11.4 195.58 0
## 904 11.5 195.58 0
## 905 11.6 195.58 0
## 906 11.7 195.58 0
## 907 11.8 195.58 0
## 908 11.9 195.58 0
## 909 12 195.58 0
## 910 12.1 195.58 0
## 911 12.2 195.58 0
## 912 12.3 195.58 0
## 913 12.4 195.58 0
## 914 12.5 195.58 0
## 915 12.6 195.58 0
## 916 12.7 195.58 0
## 917 12.8 195.58 0
## 918 12.9 195.58 0
## 919 13 195.58 0
## 920 13.1 195.58 0
## 921 13.2 195.58 0
## 922 13.3 195.58 0
## 923 13.4 195.58 0
## 924 13.5 195.58 0
#Conocer las dimensiones de dataframe creado.
dim(crimenes)
## [1] 924 3
#Establecer el tamaño de la muestra.
n <- 50
#Generar datos aleatorios que nos presenten los crimenes de manera aleatoria.
crimenesmuestra <- sample(1:nrow(crimenes), size = n, replace = TRUE)
crimenesmuestra2 <- crimenes [crimenesmuestra, ]
head(crimenesmuestra2)
## Var1 Var2 Freq
## 731 11 185.42 0
## 319 11.8 160.02 11
## 858 11.1 193.04 0
## 702 12.3 182.88 0
## 730 10.9 185.42 0
## 371 12.8 162.56 0
#3)
library(dplyr)
## Warning: package 'dplyr' was built under R version 3.5.3
##
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
##
## filter, lag
## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union
sample_crim <- crimenes %>%
sample_n(size = n, replace = FALSE)
head(sample_crim)
## Var1 Var2 Freq
## 1 12.5 172.72 11
## 2 12.3 180.34 5
## 3 11.1 170.18 7
## 4 13 182.88 2
## 5 12.4 160.02 1
## 6 9.4 175.26 0
#4)
crimenesmuestra3 <- crimenes %>%
sample_frac(0.04)
head(crimenesmuestra3)
## Var1 Var2 Freq
## 1 10.9 195.58 0
## 2 11.6 160.02 13
## 3 11.2 182.88 0
## 4 11.2 149.86 3
## 5 10.5 175.26 1
## 6 13 149.86 0
#5)
set.seed(123)
sample_iris <- iris %>%
group_by(Species) %>%
sample_n (10)
sample_iris
## # A tibble: 30 x 5
## # Groups: Species [3]
## Sepal.Length Sepal.Width Petal.Length Petal.Width Species
## <dbl> <dbl> <dbl> <dbl> <fct>
## 1 5.8 4 1.2 0.2 setosa
## 2 4.4 3 1.3 0.2 setosa
## 3 5.1 3.8 1.5 0.3 setosa
## 4 4.5 2.3 1.3 0.3 setosa
## 5 5 3.5 1.6 0.6 setosa
## 6 4.7 3.2 1.3 0.2 setosa
## 7 5.1 3.3 1.7 0.5 setosa
## 8 5.3 3.7 1.5 0.2 setosa
## 9 4.8 3 1.4 0.3 setosa
## 10 5.7 3.8 1.7 0.3 setosa
## # ... with 20 more rows
#6)
#Prueba de hipotesis
setwd("~/Probabilidad y Estadistica RStudio/Unidad 3")
library(readxl)
busquedas <- read_excel("busquedas.xlsx")
boxplot(busquedas$Utiles ~ busquedas$Uniformes, col = "grey")
Unif <- subset(busquedas, Uniformes =="2")
#Prueba de normalidad de Shapiro Wilk
shapiro.test(Unif$Utiles)
##
## Shapiro-Wilk normality test
##
## data: Unif$Utiles
## W = 0.83829, p-value = 1.598e-07