Here is a data set: 345 164 244 176 193 193 244 219 240 148 190 244 151 249 254 345 136 243 205 231 240 180 295 202 170 138 102 227 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 should contain its lower class limit and each sequential lower class limit should increase by increments of the class width. In that the data appears to be discrete, use a closed-interval to label each class. Data Frequency
Here is a data set: 345 164 244 176 193 193 244 219 240 148 190 244 151 249 254 345 136 243 205 231 240 180 295 202 170 138 102 227 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 should contain its lower class limit and each sequential lower class limit should increase by increments of the class width. In that the data appears to be discrete, use a closed-interval to label each class. Data Frequency
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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Here is a data set:
345 | 164 | 244 | 176 |
193 | 193 | 244 | 219 |
240 | 148 | 190 | 244 |
151 | 249 | 254 | 345 |
136 | 243 | 205 | 231 |
240 | 180 | 295 | 202 |
170 | 138 | 102 | 227 |
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 should contain its lower class limit and each sequential lower class limit should increase by increments of the class width. In that the data appears to be discrete, use a closed-interval to label each class.
Data | Frequency |
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