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Here is data set: 416 354 371 322 358 360 395 381 397 346 348 381 335 322 349 327 391 360 345 342 416 341 377 357 376 338 342 329 Construct a grouped frequency distribution table (GFDT) for this data set. You want 10 classes with a "nice" class width. A "nice" class width would be a multiple of 5 or 10. Your classes should be labeled using interval notation. Since the data appears to be discrete, use a closed-interval to label each class. Each class should contain its lower class limit, and the lower class limits should all be multiples of the class width. (Note: interval notation for closed intervals will take the following form "[number,number]") Data range Frequency 320 – 330 4 330 – 340 2 340 – 350 7 350 – 360 360 – 370 370 – 380 3 380 – 390 2 390 – 400 400 – 410 410 – 420

Here is data set: 416 354 371 322 358 360 395 381 397 346 348 381 335 322 349 327 391 360 345 342 416 341 377 357 376 338 342 329 Construct a grouped frequency distribution table (GFDT) for this data set. You want 10 classes with a "nice" class width. A "nice" class width would be a multiple of 5 or 10. Your classes should be labeled using interval notation. Since the data appears to be discrete, use a closed-interval to label each class. Each class should contain its lower class limit, and the lower class limits should all be multiples of the class width. (Note: interval notation for closed intervals will take the following form "[number,number]") Data range Frequency 320 – 330 4 330 – 340 2 340 – 350 7 350 – 360 360 – 370 370 – 380 3 380 – 390 2 390 – 400 400 – 410 410 – 420

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.6: Summarizing Categorical Data
Problem 4DGP
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Here is data set: 416 354 371 322 358 360 395 381 397 346 348 381 335 322 349 327 391 360 345 342 416 341 377 357 376 338 342 329 Construct a grouped frequency distribution table (GFDT) for this data set. You want 10 classes with a "nice" class width. A "nice" class width would be a multiple of 5 or 10. Your classes should be labeled using interval notation. Since the data appears to be discrete, use a closed-interval to label each class. Each class should contain its lower class limit, and the lower class limits should all be multiples of the class width. (Note: interval notation for closed intervals will take the following form "[number,number]") Data range Frequency 320 – 330 4 330 – 340 2 340 – 350 7 350 – 360 360 – 370 370 – 380 3 380 – 390 2 390 – 400 400 – 410 410 – 420
Transcribed Image Text:Here is data set: 416 354 371 322 358 360 395 381 397 346 348 381 335 322 349 327 391 360 345 342 416 341 377 357 376 338 342 329 Construct a grouped frequency distribution table (GFDT) for this data set. You want 10 classes with a "nice" class width. A "nice" class width would be a multiple of 5 or 10. Your classes should be labeled using interval notation. Since the data appears to be discrete, use a closed-interval to label each class. Each class should contain its lower class limit, and the lower class limits should all be multiples of the class width. (Note: interval notation for closed intervals will take the following form "[number,number]") Data range Frequency 320 – 330 4 330 – 340 2 340 – 350 7 350 – 360 360 – 370 370 – 380 3 380 – 390 2 390 – 400 400 – 410 410 – 420
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