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
icon
Related questions
Topic Video
Question
### 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.
Transcribed Image Text:### 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.
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 2 steps

Blurred answer
Knowledge Booster
Hypothesis Tests and Confidence Intervals for Means
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.
Similar questions
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman