3 231 233 238 257 263 275 285 285 286 302 311 313 314 319 323 326 328 336 339 362 364 366 378 390 390 422 447 Construct a frequency distribution table for this data
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| 203 | 231 | 233 | 238 |
| 257 | 263 | 275 | 285 |
| 285 | 286 | 302 | 311 |
| 313 | 314 | 319 | 323 |
| 326 | 328 | 336 | 339 |
| 362 | 364 | 366 | 378 |
| 390 | 390 | 422 | 447 |
Construct a frequency distribution table for this data set.
- Number of classes: 10
- Use a "nice" class width, such as a multiple of 5 or 10.
- Label classes using interval notation.
- For example, if the class is 70-79, label it as [70,79].
- The lower class limit should be a multiple of the class width.
- For example, if the class width is 10, the lower class limit should be a number like 30 or 40 (depending on the data).
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- Draw the frequency polygon for these data using the initial class boundary of 60.5 and ending class boundary of 85.5 and 5 classes of equal width. Note that you can add or remove classes from the figure. Label each class with its midpoint.Here is data set: 416 354 371 322 358 360 395 381 397 346 348 381 335 322 349 327 391 360 345 342 416 341 377 357 376 338 342 329 Construct a grouped frequency distribution table (GFDT) for this data set. You want 10 classes with a "nice" class width. A "nice" class width would be a multiple of 5 or 10. Your classes should be labeled using interval notation. Since the data appears to be discrete, use a closed-interval to label each class. Each class should contain its lower class limit, and the lower class limits should all be multiples of the class width. (Note: interval notation for closed intervals will take the following form "[number,number]") Data range Frequency 320 – 330 4 330 – 340 2 340 – 350 7 350 – 360 360 – 370 370 – 380 3 380 – 390 2 390 – 400 400 – 410 410 – 420Here is a data set: 416 354 371 322 358 360 395 381 397 346 348 381 335 322 349 327 391 360 345 342 416 341 377 357 376 338 342 329 Construct a grouped frequency distribution table (GFDT) for this data set. You want 10 classes with a "nice" class width. A "nice" class width would be a multiple of 5 or 10. Your classes should be labeled using interval notation. Since the data appears to be discrete, use a closed-interval to label each class. Each class should contain its lower class limit, and the lower class limits should all be multiples of the class width. (Note: interval notation for closed intervals will take the following form "[number,number]") Data range Frequency
- Here is a data set: 807 689 739 746 837 815 700 925 542 492 632 740 742 | 492 707 757 807 767 507 847 814 630 638 573 645 686 852 684 Construct a grouped frequency distribution table (GFDT) for this data set. You want 10 classes with a "nice" class width. Your classes should be labeled using interval notation. Each class contains its lower class limit, and the lower class limits should all be multiples of the class width. In that the data appears to be discrete, use a closed-interval to label each class. Data range FrequencyHere is a data set: Data range 210-229 230-249 250-269 270-289 290-309 214 217 219 223 228 238 241 245 247 253 253 254 X Construct a frequency distribution table for this data set. • Number of classes: 10 • Use a "nice" class width, such as a multiple of 5 or 10. • Label classes using interval notation. • For example, if the class is 70-79, label it as [70,79]. The lower class limit should be a multiple of the class width. • • For example, if the class width is 10, the lower class limit should be a number like 30 or 40 (depending on the data). X 5 263 265 286 291 X 4 50 11 250 X 2 256 X 8 10% Frequency 28 266 269 287 290 291 303 305 307 56 259 262 XHow to find the class width of a frequency table?
- Here is a data set: 402 402 443 470 482 487 492 496 501 505 505 514 520 522 530 538 543 545 547 554 559 575 579 584 592 592 645 645 Construct a frequency distribution table for this data set. • Number of classes: 10 • Use a "nice" class width, such as a multiple of 5 or 10. • Label classes using interval notation. • For example, if the class is 70-79, label it as [70,79]. • The lower class limit should be a multiple of the class width. • For example, if the class width is 10, the lower class limit should be a number like 30 or 40 (depending on the data). Data range Frequency alu490 467 451 447 498 502 435 454 506 475 477 477 488 519 489 494 455 474 457 476 477 488 501 487 528 467 Construct a grouped frequency distribution table (GFDT) for this data set. You want 10 classes with a "nice" class width. A "nice" class width would be a multiple of 5 or 10. Your classes should be labeled using interval notation. Since the data appears to be discrete, use a closed-interval to label each class. Each class should contain its lower class limit, and the lower class limits should all be mu iples of the class width. (Note: interval notation for closed intervals will take the following form "[number,number]") Data range FrequencyHere is a data set: 809 600 791 696 855 703 734 712 556 628 939 491 641 820 598 590 700 644 579 534 559 839 714 781 642 877 491 637 Construct a grouped frequency distribution table (GFDT) for this data set. You want 10 classes with a "nice" class width. Your classes should be labeled using interval notation. Each class contains its lower class limit, and the lower class limits should all be multiples of the class width. In that the data appears to be discrete, use a closed-interval to label each class.
- * 00 Here is a data set: 498 452 451 462 482 521 463 476 476 473 525 467 476 470 476 464 464 434 479 434 437 473 463 445 468 487 Construct a grouped frequency distribution table (GFDT) for this data set. You want 10 classes with a "nice" class width. Your classes should be labeled using interval notation. Each class contains its lower class limit, and the lower class limits should all be multiples of the class width. In that the data appears to be discrete, use a closed-interval to label each class. Data range Frequency Submit Question MacBook Air esc 08 F3 F1 F2 F4 F5 F7 %23 & 2 %24 4. 8. R. H K. B. W NHere are the hottest recorded temperatures (in °F) for each of eighteen cities throughout North America. Temperatures (in °F) 95 116 108 108 118 105 101 114 96 115 106 117 99 112 111 102 103 97 Send data to calculator (a) Complete the grouped frequency distribution for the data. (Note that the class width is 6.) Temperatures (in °F) 94.5 to 100.5 100.5 to 106.5 106.5 to 112.5 112.5 to 118.5 Frequency 0 0 0 0 (b) Using the classes from part (a), draw the frequency polygon for the data. Note that you can add or remove classes from the figure. Label each class with its midpoint. Frequency S 4- 3 2 Temperatures (in °F) 0Here is a data set: 378 433 437 461 464 466 482 483 483 486 492 492 496 499 508 509 515 520 530 532 534 550 551 552 566 607 613 622 Construct a frequency distribution table for this data set. Number of classes: 10 Use a "nice" class width, such as a multiple of 5 or 10. Label classes using interval notation. For example, if the class is 70-79, label it as [70,79]. The lower class limit should be a multiple of the class width. For example, if the class width is 10, the lower class limit should be a number like 30 or 40 (depending on the data).
