Here is a data set: 310 302 300 336 365 306 365 297 330 311 326 343 332 278 307 311 278 330 297 300 319 365 318 318 285 296 323 293 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: 310 302 300 336 365 306 365 297 330 311 326 343 332 278 307 311 278 330 297 300 319 365 318 318 285 296 323 293 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 4DGP
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Here is a data set:
| 310 | 302 | 300 | 336 |
| 365 | 306 | 365 | 297 |
| 330 | 311 | 326 | 343 |
| 332 | 278 | 307 | 311 |
| 278 | 330 | 297 | 300 |
| 319 | 365 | 318 | 318 |
| 285 | 296 | 323 | 293 |
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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