ere is a data set: 334 337 346 309 339 335 333 364 326 333 310 317 356 295 326 308 387 364 365 307 312 321 362 345 347 325 343 367 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.
ere is a data set: 334 337 346 309 339 335 333 364 326 333 310 317 356 295 326 308 387 364 365 307 312 321 362 345 347 325 343 367 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.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.6: Summarizing Categorical Data
Problem 2GP
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ere is a data set:
334 | 337 | 346 | 309 |
339 | 335 | 333 | 364 |
326 | 333 | 310 | 317 |
356 | 295 | 326 | 308 |
387 | 364 | 365 | 307 |
312 | 321 | 362 | 345 |
347 | 325 | 343 | 367 |
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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