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Here is a data set: 158 139 160 127 179 168 198 173 119 129 166 148 138 129 113 196 145 153 139 175 144 150 102 163 108 166 172 143 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乃 %为一

Here is a data set: 158 139 160 127 179 168 198 173 119 129 166 148 138 129 113 196 145 153 139 175 144 150 102 163 108 166 172 143 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乃 %为一

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 group frequency distribution table (GDFT) 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 be all 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: 158 139 160 127 179 168 198 173 119 129 166 148 138 129 113 196 145 153 139 175 144 150 102 163 108 166 172 143 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
Transcribed Image Text:Here is a data set: 158 139 160 127 179 168 198 173 119 129 166 148 138 129 113 196 145 153 139 175 144 150 102 163 108 166 172 143 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
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ISBN:
9781337798310
Author:
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