### Iditarod Dog Sled Race Finish Times Analysis**Overview:**This exercise analyzes the finish times (in hours) for the 1161-mile Iditarod Dog Sled Race from Anchorage to Nome, Alaska. The times (rounded to the nearest hour) for 57 dogsled teams are provided.**Finish Times:**```261, 271, 236, 244, 279, 296, 284, 299, 289, 288, 288, 247, 256, 338, 360, 341, 333, 261, 266, 287, 296, 313, 311, 307, 307, 299, 303, 277, 283, 304, 305, 288, 290, 288, 289, 297, 299, 332, 330, 309, 328, 307, 328, 285, 291, 295, 298, 306, 315, 310, 318, 318, 320, 333, 321, 323, 324, 327```**Instructions:**1. **Determine the Class Width:** - Calculate the range of data. - Divide by the number of desired classes (five).2. **Create a Frequency Table:** - **Components:** - Class Limits: The range of each class. - Class Boundaries: The values used to separate each class. - Midpoint: The center value of each class. - Frequency: The number of finish times in each class. - Relative Frequency: The proportion of total finish times in each class (two decimal places). - Cumulative Frequency: The running total of frequencies.**Table Structure Example:**| Class Limits | Class Boundaries | Midpoint | Frequency | Relative Frequency | Cumulative Frequency ||--------------|------------------|----------|-----------|--------------------|----------------------|| | | | | | || | | | | | || | | | | | || | | | | | || | | | | | |Make use of the table to clearly understand the distribution and frequency of the race finish times.

Name: ### Iditarod Dog Sled Race Finish Times Analysis**Overview:**This exe
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Description: ### Iditarod Dog Sled Race Finish Times Analysis**Overview:**This exercise analyzes the finish times (in hours) for the 1161-mile Iditarod Dog Sled Race from Anchorage to Nome, Alaska. The times (rounded to the nearest hour) for 57 dogsled teams are

Midpoint = Upper class boundary - Lower class boundary2 Class Width = (Upper Class Boundary - Lower Class Boundary) Relative Frequency = Corresponding FrequencyTotal Frequency a. Here the class width = 25 b. Class Limit Class Boundaries Midpoint Frequency Relative Frequency Cumulative Frequency 235-259 234.5-259.5 247 4 0.07 4 260-284 259.5-284.5 272 8 0.14 12 285-309 284.5-309.5 297 25 0.43 37 310-334 309.5-334.5 322 17 0.29 54 335-360 334.5-360.5 347 3 0.05 57

Math

Statistics

261 271 236 244 279 296 284 299 288 288 247 256 338 360 341 333 261 266 287 296 313 311 307 307 299 303 277 283 304 305 288 290 288 289 297 299 332 330 309 328 307 328 285 291 295 298 306 315 310 318 318 320 333 321 323 324 327

261 271 236 244 279 296 284 299 288 288 247 256 338 360 341 333 261 266 287 296 313 311 307 307 299 303 277 283 304 305 288 290 288 289 297 299 332 330 309 328 307 328 285 291 295 298 306 315 310 318 318 320 333 321 323 324 327

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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Refer to the table summarizing service times (seconds) of dinners at a fast food restaurant. How many individuals are included in the summary? Is it possible to identify the exact values of all of the original service times? Time (sec) 60-119 120-179 180-239 240-299 300-359 individuals are included in the summary. (Type a whole number.) Is it possible to identify the exact values of all of the original service times? Frequency D 9 25 14 3 4 C O A. No. The frequency distribution tells nothing about the data values that fall below the lowest class limit or above the highest class limit. O B. No. The data values in each class could take on any value between the class limits, inclusive. O C. Yes. The data values in each class are spread evenly across the full length of the class. O D. Yes. The data values in each class are equal to the corresponding class midpoint.
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