Here is a data set:402402443470482487492496501505505514520522530538543545547554559575579584592592645645Construct 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 rangeFrequencyalu

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Answered: Here is a data set: 402 402 443 470 482…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Here 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).
Here is a data set: 5740 7020 7550 6370 5850 7320 4410 6830 8180 6770 6690 8890 5290 8890 5220 5480 4410 5570 6890 6840 8890 7020 6300 6430 7600 5570 6720 7000 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
Here is a data set: 248 311 256 312 336 283 259 345 297 232 358 330 340 294 316 315 271 268 327 257 353 415 280 300 352 333 304 359 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.
Here is a data set: 152 157 165 206 208 212 219 235 236 246 248 260 262 267 273 273 274 275 283 286 304 310 315 334 335 343 345 395 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
Here is a data set: 369 386 363 354 312 352 251 417 330 358 435 338 341 407 311 283 335 335 346 355 288 336 344 417 356 279 280 396 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. Hint: The first class is [240,259]. This is the format all classes should be entered. Data range Frequency
Here is a data set: 345 164 244 176 193 193 244 219 240 148 190 244 151 249 254 345 136 243 205 231 240 180 295 202 170 138 102 227 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 should contain its lower class limit and each sequential lower class limit should increase by increments of the class width. In that the data appears to be discrete, use a closed-interval to label each class. Data Frequency
Here is a data set: 61100 51500 47100 32000 41200 69200 55900 50700 50300 62100 56900 45700 31000 48400 57700 34600 47000 53700 29100 24600 29400 48400 55800 46400 48200 46400 34100 53800 The goal is to construct a grouped frequency distribution table (GFDT) for this data set. The GFDT should have 10 classes with a "nice" class width. Each class should contain its lower class limit, and the lower class limits should all be multiples of the class width.This problem is to determine what the class width and the first lower class limit should be.What is the best class width for this data set?optimal class width = What should be the first lower class limit?1st lower class limit =
Using the stem and leaf diagram in Exhibit 1, Exhibit 1 Stem-and-Leaf Display: No. of Arrival Leaf Unit = 1 N =* 5 2 01123 10 2 56899 ** 3 0001123 (***) 3 6666678888 12 4 01134 7 4 57789 2 5 00 Form a frequency table by identifying the class intervals implicitly
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.
The table below shows the frequency distribution for the number of minutes per week spent watching TV by 400 junior high students. With reference to this table: Viewing time (minutes) Number of students 300 – 399 14 400 – 499 46 500 – 599 58 600 – 699 76 700 – 799 68 800 – 899 62 900 – 999 48 1000 – 1099 22 1100 – 1199 6 The upper limit of the fifth class The lower limit of the eight class. The class mark of the seventh class. The class boundaries of the last class. The class interval size. The frequency of the fourth class. The relative frequency of the sixth class. The percentage of…
Here is a data set: 2900 20500 11000 10100 13700 12800 7300 16500 12900 2200 18000 21600 13700 5800 13700 7700 12300 12500 12600 5700 8900 8300 14500 6600 14900 20900 11200 9100 The goal is to construct a grouped frequency distribution table (GFDT) for this data set. The GFDT should have 10 classes with a "nice" class width. Each class should contain its lower class limit, and the lower class limits should all be multiples of the class width.This problem is to determine what the class width and the first lower class limit should be.What is the best class width for this data set? optimal class width = What should be the first lower class limit? 1st lower class limit =

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