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Here is a data set: 259 279 325 332 273 259 430 405 285 307 329 430 295 293 392 282 374 298 291 404 297 347 355 319 322 335 313 389 Construct a grouped frequency distribution table (GFDT) for this data set. You want 10 classes with a "ni class width. Your classes should be labeled using interval notation. Each class contains its lower class lin and the lower class limits should all be multiples of the class width. In that the data appears to be discr use a closed-interval to label each class. Data range Frequency

Here is a data set: 259 279 325 332 273 259 430 405 285 307 329 430 295 293 392 282 374 298 291 404 297 347 355 319 322 335 313 389 Construct a grouped frequency distribution table (GFDT) for this data set. You want 10 classes with a "ni class width. Your classes should be labeled using interval notation. Each class contains its lower class lin and the lower class limits should all be multiples of the class width. In that the data appears to be discr use a closed-interval to label each class. Data range Frequency

Mathematics For Machine Technology
Mathematics For Machine Technology
8th Edition
ISBN:9781337798310
Author:Peterson, John.
Publisher:Peterson, John.
Chapter29: Tolerance, Clearance, And Interference
Section: Chapter Questions
Problem 16A: Spacers are manufactured to the mean dimension and tolerance shown in Figure 29-12. An inspector...
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Construct a grouped frequency distribution table 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: 259 279 325 332 273 259 430 405 285 307 329 430 295 293 392 282 374 298 291 404 297 347 355 319 322 335 313 389 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 Sに m m
Transcribed Image Text:Here is a data set: 259 279 325 332 273 259 430 405 285 307 329 430 295 293 392 282 374 298 291 404 297 347 355 319 322 335 313 389 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 Sに m m
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