Here is a data set:```498 452 451 462482 521 463 476476 489 473 500525 467 476 470476 464 464 434479 434 437 473463 445 468 487```### Task: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.### Frequency Distribution Table Format:- **Data Range:** [lower limit, upper limit]- **Frequency:** Number of data points within the rangeBelow is the structure where you can input your values:| Data range | Frequency ||------------|-----------|| | || | || | || | || | || | || | || | || | || | |Click "Submit Question" after entering your data.Note: To determine the class width, subtract the smallest value in the data set from the largest value and divide by the number of desired classes (10 in this case).

here from given data prepare grouped fequency distributon as follow

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: 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.
6. Fill in the missing values in the following table of relative frequency, labelled A- J. Show how you calculate each value, and put your final answer for each value in the table below (e.g., replace "A" with your found value). The method you use can be different from mine, but you must show how you arrive at each value. Hint: go in order. Find A, then B, etc. Tutorial video 3 should be very helpful here. Class Frequency Relative frequency Cumulative relative frequency 1 to 5 300 0.15 0.15 6 to 10 B A 0.20 11 to 15 500 C D 16 to 20 F 0.45 E 21 to 25 H G 0.98 26 to 30 J I 1.00
Use the maximum and minimum data entries and the number of classes to find the class width, the lower class limits, and the upper class limits. min = 1, max = 30, 6 classes
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.
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…
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 to find the class width of a frequency table?
Suppose a researcher collects data on the air pollution levels, measured in milligrams per cubic meter, for both urban and rural areas in 35 states. The data is plotted with urban air pollution levels on the horizontal axis and rural air pollution levels on the vertical axis. Nevada is an outlier in the ?x‑direction. What must be true about this state? The urban air pollution levels for this state are much higher or lower than the rest of the states in the data set. The rural air pollution levels for this state are much higher or much lower than the rest of the states in the data set. This state is an influential observation. The rural air pollution levels for this state are much higher or lower than other states in the data set that have similar urban air pollution levels. The absolute value of the residual of this state is large.

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