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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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:
270
319
233
201
302
326
325
225
271
227
319
249
299
221
301
286
324
421
247
330
241
359
244
282
314
321
395
179
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.
Transcribed Image Text:Here is a data set: 270 319 233 201 302 326 325 225 271 227 319 249 299 221 301 286 324 421 247 330 241 359 244 282 314 321 395 179 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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