Home Runs The data show the most number of home runs hit by a batter in the American League over the last 30 seasons. Construct a relative frequency polygon for the data. Class limits 33-37 38-42 43-47 48-52 53-57 58-62 63-67 Total Relative Frequency 0.231 0.192 0.192 0.115 0.115 0.115 0.038 0.998
Home Runs The data show the most number of home runs hit by a batter in the American League over the last 30 seasons. Construct a relative frequency polygon for the data. Class limits 33-37 38-42 43-47 48-52 53-57 58-62 63-67 Total Relative Frequency 0.231 0.192 0.192 0.115 0.115 0.115 0.038 0.998
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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Transcribed Image Text:### Home Runs Data Analysis
The following data showcases the maximum number of home runs hit by a batter in the American League over the last 30 seasons. The table below displays the class limits and their corresponding relative frequencies.
#### Table: Class Limits and Relative Frequencies
| Class Limits | Relative Frequency |
|--------------|--------------------|
| 33 – 37 | 0.231 |
| 38 – 42 | 0.192 |
| 43 – 47 | 0.192 |
| 48 – 52 | 0.115 |
| 53 – 57 | 0.115 |
| 58 – 62 | 0.115 |
| 63 – 67 | 0.038 |
| **Total** | **0.998** |
The total relative frequency sums up to 0.998, ensuring that nearly all the data has been accounted for in these class intervals.
#### Graph Explanation
The graph below these statistics is intended to represent a relative frequency polygon for home runs. However, it appears there is an issue with the graphical representation, as all the plotted relative frequencies are shown as 0.000.
- **X-axis (Horizontal):** Represents the range of home runs, divided into class intervals from 30 to 70.
- **Y-axis (Vertical):** Displays the relative frequency of each class interval. It ranges from 0 to 0.35.
The line graph should connect points corresponding to the midpoint of each class interval and their respective relative frequencies from the table. This visual representation can help identify trends or patterns in the data, although it currently does not reflect the actual data presented in the table due to technical issues.
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