Here is a data set: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 range549406 487 518445620 378 468558 525 499 521444 479 537 486491 411 545 549529 489 484 448556 532 431448Submit QuestionFrequency

Data549406487518445620378468558525499521444479537486491411545549529489484448448556532431

Answered: a data set: 549 406 487 518 620 378 468…

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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Determine the class intervals and create frequency distribution for each of the frequency tables. First Table (Price) Price Frequency $20 3 $35 5 $40 14 $60 16 Other 2 Second Table (Age) Age 18-24 25-34 35-44 45-54 55-64 65+ Frequency 12 2 9 12 5 0
Here is a data set: 5170 3920 4330 4350 5710 4190 3810 5120 4790 4140 4550 4090 4820 4140 5060 5430 3260 3440 4780 3710 3800 4340 3990 4550 4970 5240 3260 5130 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: 146 132 286 180 165 224 139 153 143 173 138 153 170 217 189 108 146 144 172 158 193 154 297 203 185 224 195 207 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.
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A data set with whole numbers has a low value of 20 and a high value of 110. Find the class width for a frequency table with seven classes. Find the class limits for a frequency table with seven classes. Lower class limit - Upper class limit First class Second class Third class Fourth class Fifth class Sixth class Seventh class
Identify the lower class limits, upper class limits, class width, class midpoints, and class boundaries for the given frequency distribution. Also identify the number of individuals included in the summary. a. Identify the lower class limits (in 1000cells/muL). (Type integers or decimals. Do not round. Use ascending order.) b. Identify the upper class limits (in 1000 cells/muL). (Type integers or decimals. Do not round. Use ascending order.) c. Identify the class width (in 1000 cells/muL). (Type an integer or a decimal. Do not round.) d. Identify the class midpoints (in 1000cells/muL). (Type integers or decimals. Do not round. Use ascending order.) e. Identify the class boundaries (in 1000cells/muL). (Type integers or decimals. Do not round. Use ascending order.) f. Identify the number of individuals included in the summary. (Type an integer or a decimal. Do not round.)
Here 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 X
Here is a data set: 430 584 450 343 458 737 498 265 665 412 643 466 356 338 644 599 466 577 495 436 456 476 516 503 497 675 421 334 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.
Identify the lower class limits, upper class limits, class width, class midpoints, and class boundaries for the given frequency distribution. Also identify the number of individuals included in the summary. Blood Platelet Count of Females (1000 cells/uL) Frequency 100-199 200-299 24 91 26 300-399 400-499 1 500-599 4 Identify the lower class limits. 00000 (Type integers or decimals. Do not round. Use ascending order.) Identify the upper class limits. (Type integers or decimals. Do not round. Use ascending order.) Identify the class width. Enter your answer in each of the answer boxes.
Construct a frequency distribution for the given data set using 6 classes. In the table, include the midpoints, relative frequencies, and cumulative frequencies. Which class has the greatest frequency and which has the least frequency? Amount (in dollars) spent on books for a semester 166 345 151 424 406 353D 94 407 95 125 516 525 336 199 256 317 286 473 156 126 59 501 144 42 443 218 40 488 427 Complete the table, starting with the lowest class limit. Use the minimum data entry as the lower limit of the first class. (Type integers or decimals. Round the class limits to the nearest whole number. Round all other values to the nearest thousandth as needed.) Cumulative Relative Frequency Frequency Midpoint Frequency Class
Here is a data set: 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). Data range Frequency

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