Here is a data set: 248 216 237 256 224 194 198 247 213 203 212 201 207 212 218 217 200 203 185 178 222 200 237 198 225 166 192 223 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]") TTTT
Here is a data set: 248 216 237 256 224 194 198 247 213 203 212 201 207 212 218 217 200 203 185 178 222 200 237 198 225 166 192 223 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]") TTTT
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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Concept explainers
Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
Topic Video
Question
43
![Here is a data set:
248
216
237
256
224
194
198
247
213
203
212
201
207
212
218
217
200
203
185
178
222
200
237
198
225
166
192
223
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](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fd3906bba-d731-4d3e-8323-fa6146946cae%2Fd8c1ecec-870b-48ac-a2f0-7a0446617340%2Fb9ad18g_processed.png&w=3840&q=75)
Transcribed Image Text:Here is a data set:
248
216
237
256
224
194
198
247
213
203
212
201
207
212
218
217
200
203
185
178
222
200
237
198
225
166
192
223
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
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