Here is a data set: 1030 1040 1040 1170 2010 1030 2060 1300 1030 930 1120 610 850 1020 1780 2340 1070 730 1050 560 1370 1580 2150 2070 860 2460 10 1000 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: 262 143 161 311 307 150 234 204 174 210 128 273 228 183 184 260 128 243 209 311 190 169 197 179 190 155 188 311 Construct a grouped frequency distribution table (GFDT) for this data set. You want 10 classes with a "nice" class width. Each class contains its lower class limit, and the lower class limits should all be multiples of the class width. Note: the data ranges will be hand graded after the due date for this assignment. If your frequencies are marked correct, you most likely have the classes correct.

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

how do I go about constructing a frequency distrubution with a lower class of 15.0 and a classwidth of 6?

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.

* 00 T O LO R Question 18 Here is a data set: 218 75 129 105 35 133 98 95 37 112 61. 154 696 LL 114 167 35 09 06 174 167 124 83 98 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 MacBook Air 08 F3 F1 F2 F4 F 7 #3 24 1 2 3. 4. A H. Z B. W N

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