### Educational Website Transcription and Explanation#### Data SetHere is a data set:```498, 452, 451, 462482, 521, 463, 476476, 489, 473, 500525, 467, 476, 470476, 464, 464, 434463, 441, 437, 473463, 445, 468, 487```#### TaskConstruct a grouped frequency distribution table (GFDT) for this data set. You need to create 10 classes with a "nice" class width. Classes should be labeled using interval notation. Each class contains its lower class limit, and the lower class limits should be multiples of the class width. Since the data appears to be discrete, use a closed interval to label each class.#### Grouped Frequency Distribution Table (GFDT)The table consists of two columns: "Data range" and "Frequency."| Data Range | Frequency ||------------|-----------|| [430, 440] | 3 ✔️ || [440, 450] | 3 ❌ || [450, 460] | 3 ❌ || [460, 470] | 7 ✔️ || [470, 480] | 6 ✔️ || [480, 490] | 2 ❌ || [490, 500] | 0 ❌ || [500, 510] | 1 ❌ || [510, 520] | 1 ❌ |#### Explanation- **Data Range**: Represents intervals of the data set, structured in a way that each interval is a multiple of the class width.- **Frequency**: Indicates how many data points fall into each interval.- "✔️" and "❌" symbols demonstrate correct and incorrect entries respectively for the class intervals based on given criteria. This table helps visualize the distribution of data points across different intervals, aiding in understanding the data's spread and concentration.

From the given values, the minimum value is 434 and the maximum value is 525. Number of class is 10.…

Answered: Construct a grouped 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: 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 3 0 2 8 2 66 61 50.8 45.2 53.9 56.7 55.6 57.4 68 62.8 46.8 56.3 67.1 57.3 53.9 69.7 60.2 65.3 58.2 56.3 52.5 59.3 45.2 65.6 55.1 60.6 56.5 51.1 3 2 < ४ 8 ४ 8 q ४
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.
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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: 589 301 420 232 390 385 372 326 312 449 307 459 589 105 271 589 292 337 410 314 366 231 309 423 382 425 457 273 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.
Below are the times (in days) it takes for a sample of 22 customers from Jack's computer store to pay their invoices. 19, 15, 43, 39, 35, 31, 27, 22, 18, 14, 42, 38, 13, 13, 41, 41, 37, 37, 37, 33, 33, 33 Send data to calculator Draw the frequency polygon for these data using an initial class boundary of 12.5 and a class width of 7. Note that you can add or remove classes from the figure. Label each class with its midpoint. Frequency 7. Check 26°F Clear Q Search 0:00 00:0 X Save For Later C Submit Assignme
Stocks may be categorized by industry. The accompanying data represent three-year rates of return for a sample of financial stocks and retail stocks. Complete parts (a) through (e) below. Click the icon to view the data tables. (a) Construct a relative frequency distribution for each industry. To make an easy comparison, create each frequency distribution so that the lower class limit of the first class is -20 and the class width is Construct a relative frequency distribution for financial stocks. Complete the table below. Rate of Return Relative Frequency Rate of Return Relative Frequency -20 to -0.01 100-119.99 0-19.99 20-39.99 40-59.99 60-79.99 80-99.99 (Round to three decimal places as needed.) -xample Get more help. 120-139.99 140-159.99 160-179.99 180-199.99 1 √₁ Vi 1, Rates of Return Financial Stocks Full data set - 19.75 55.74 55.39 58.44 59.94 0.45 102.29 52.27 195.61 -1.82 44.35 46.14 177.43 85.34 20.57 196.67 57.37 106.80 24.36 93.07 78.51 85.12 176.32 14.83 116.35 150.77…
For this grouped data set: Scores | Frequencies 30-34 | 7 25-29 | 9 20-24 | 14 15-19 | 10 10-14 | 8 5-9 | 2 Graph the data and tell whether it is leptokurtic, mesokurtic, or platykurtic.
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
A large company's human resources manager undertakes a research that examines the employment records of 500 employees for absenteeism over the previous year. The data is organised into a frequency distribution by the business researcher conducting the study to assist the human resources manager in analysing the data. This graphs show the frequency distribution. Class interval Frequency 0 – 1 218 2 – 3 207 4 – 5 56 6 – 7 11 8 – 9 8 List three specific uses of cumulative frequencies in business. Display a relative frequency histogram and relative frequency polygon for these data. Find mean, median, mode, variance and standard deviation for grouped data.
Here is a data set: 203 231 233 238 257 263 275 285 285 286 302 311 313 314 319 323 326 328 336 339 362 364 366 378 390 390 422 447 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). Data range Frequency

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