Here is a data set: 4660 7070 8450 7050 7010 6770 8070 9220 6820 8220 6740 6890 6040 5990 5430 5360 7090 5760 9270 6790 6870 5700 7360 6610 6540 6340 6010 6030 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 range Frequency

Here is a data set: 4660 7070 8450 7050 7010 6770 8070 9220 6820 8220 6740 6890 6040 5990 5430 5360 7090 5760 9270 6790 6870 5700 7360 6610 6540 6340 6010 6030 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 range Frequency

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Here is a data set: 5170 3920 4330 4350 5710 4190 3810 5120 4790 4140 4550 4090 4820 4140 5060 5430 3260 3440 4780 3710 3800 4340 3990 4550 4970 5240 3260 5130 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: 146 132 286 180 165 224 139 153 143 173 138 153 170 217 189 108 146 144 172 158 193 154 297 203 185 224 195 207 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.
A school administrator is interested in estimating the proportion of students in the district who participate incommunity service activities. From a random sample of 100 students in the district, the administrator will constructa 99 percent confidence interval for the proportion of all district students who participate in community serviceactivities. Which of the following statements must be true?(A) The population proportion will be in the confidence interval.(B) The probability that the confidence interval will include the population proportion is 0.99.(C) The probability that the confidence interval will include the sample proportion is 0.99.(D) The population proportion and the sample proportion will be equal.(E) The probability that the population proportion and the sample proportion will be equal is 0.99.
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A data set with whole numbers has a low value of 20 and a high value of 110. Find the class width for a frequency table with seven classes. Find the class limits for a frequency table with seven classes. Lower class limit - Upper class limit First class Second class Third class Fourth class Fifth class Sixth class Seventh class
Here is a data set: 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 range [4540,4789] [4790,5039] [5040,5289] [5290,5539] [5540,5789] [5790,6039] [6040,6289] [6290,6539] [6540,6789] [6790,7039] X X 6300 5980 5360 5950 5860 6230 4940 5510 5180 5090 5140 5750 6010 6440 5590 5970 6540 6190 5720 6090 4540 5760 6960 5300 6960 5490 5170 6020 Frequency X 1 2 X X 6 X4 X 2 X 4 X X 6 X 2 X X 2 X 2 X X 1 X 3 O 6 ४ 2
Here is a data set: Data range 210-229 230-249 250-269 270-289 290-309 214 217 219 223 228 238 241 245 247 253 253 254 X Construct a frequency distribution table for this data set. • Number of classes: 10 • Use a "nice" class width, such as a multiple of 5 or 10. • Label classes using interval notation. • For example, if the class is 70-79, label it as [70,79]. The lower class limit should be a multiple of the class width. • • For example, if the class width is 10, the lower class limit should be a number like 30 or 40 (depending on the data). X 5 263 265 286 291 X 4 50 11 250 X 2 256 X 8 10% Frequency 28 266 269 287 290 291 303 305 307 56 259 262 X
how do I go about constructing a frequency distrubution with a lower class of 15.0 and a classwidth of 6?
Here is a data set: 430 584 450 343 458 737 498 265 665 412 643 466 356 338 644 599 466 577 495 436 456 476 516 503 497 675 421 334 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.
Given the stem-and-leaf diagram. Answer the following questions: • The total frequency all stems Observations of the stem that has largest frequency Stem-and-leaf of C1 N - 82 Leaf Unit - 0.10 1 4 84 33 4 85 86 777 13 87 456789 24 88 89 23334556679 0233678899 90 0111344456789 0001112256688 22236777 023347 (13) 35 91 22 92 14 93 8 94 2247 95 4 96 97 15 2 2 98 8 1. 99 1 100 3 Q1 88.575 Median Q3 90.400 92.200 a. Total frequency = 18 Observations on the largest frequency: 90.0, 90.1, 90.1, 90.1, 90.3, 90.4, 90.4, 90.4, 90.5, 90.6, 90.7, 90.8, 90.9 b. Total frequency cannot be determined by the present diagram Observations on the largest frequency: 90.0, 90.1, 90.1, 90.1, 90.3, 90.4, 90.4, 90.4, 90.5, 90.6, 90.7, 90.8, 90.9 O.Total frequency = 82 Observations on the largest frequency: 90.0, 90.1, 90.1, 90.1, 90.3, 90.4, 90.4, 90.4, 90.5, 90.6, 90.7, 90.8, 90.9 O d. Total frequency = 82 Observations on the largest frequency: 87.4, 87.5, 87.6, 87.7, 87.8, 87.9 34 5 678 9012NM 435 2