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.

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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.

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