Construct a cumulative frequency distribution with 10 classes. Less than 0.5 Less than 25.5 Less than 50.5 Less than 75.5 Less than 100.5 Less than 125.5 Less than 150.5 Less than 175.5 Less than 200.5 Less than 225.5 Less than 250.5 Cumulative frequency 0.25 X Ś

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**Constructing a Cumulative Frequency Distribution with 10 Classes**

To create a cumulative frequency distribution, follow these guidelines. The table below organizes data into classes with cumulative frequencies:

| Class | Cumulative Frequency |
|-------|-----------------------|
| Less than 0.5 | 0.25                  |
| Less than 25.5 |                           |
| Less than 50.5 |                           |
| Less than 75.5 |                           |
| Less than 100.5 |                         |
| Less than 125.5 |                         |
| Less than 150.5 |                         |
| Less than 175.5 |                         |
| Less than 200.5 |                         |
| Less than 225.5 |                         |
| Less than 250.5 |                         |

**Explanation:**
- **Class Intervals:** Each row represents a class interval less than a specific value.
- **Cumulative Frequency:** The first class has a cumulative frequency of 0.25, indicating the number of data points less than 0.5. The subsequent frequencies need to be calculated to show the accumulation up to each class boundary.
Transcribed Image Text:**Constructing a Cumulative Frequency Distribution with 10 Classes** To create a cumulative frequency distribution, follow these guidelines. The table below organizes data into classes with cumulative frequencies: | Class | Cumulative Frequency | |-------|-----------------------| | Less than 0.5 | 0.25 | | Less than 25.5 | | | Less than 50.5 | | | Less than 75.5 | | | Less than 100.5 | | | Less than 125.5 | | | Less than 150.5 | | | Less than 175.5 | | | Less than 200.5 | | | Less than 225.5 | | | Less than 250.5 | | **Explanation:** - **Class Intervals:** Each row represents a class interval less than a specific value. - **Cumulative Frequency:** The first class has a cumulative frequency of 0.25, indicating the number of data points less than 0.5. The subsequent frequencies need to be calculated to show the accumulation up to each class boundary.
**Bear Kills**  
The number of bears killed in 2014 for 49 counties in Pennsylvania is shown in the frequency distribution.

| Class Limits | Frequency |
|--------------|-----------|
| 1 – 25       | 15        |
| 26 – 50      | 12        |
| 51 – 75      | 7         |
| 76 – 100     | 4         |
| 101 – 125    | 3         |
| 126 – 150    | 2         |
| 151 – 175    | 0         |
| 176 – 200    | 3         |
| 201 – 225    | 0         |
| 226 – 250    | 3         |
| **Total**    | **49**    |

**Explanation:**  
This table displays the frequency distribution of bear kills across 49 counties in Pennsylvania for the year 2014. The data is grouped into class intervals, where each interval represents a range of bear kills. The "Class Limits" column specifies the range, and the "Frequency" column records how many counties fall into each range. For example, 15 counties experienced 1 to 25 bear kills, while 12 counties experienced 26 to 50 bear kills, and so on. This distribution provides insights into the spread and concentration of bear kills across different regions.
Transcribed Image Text:**Bear Kills** The number of bears killed in 2014 for 49 counties in Pennsylvania is shown in the frequency distribution. | Class Limits | Frequency | |--------------|-----------| | 1 – 25 | 15 | | 26 – 50 | 12 | | 51 – 75 | 7 | | 76 – 100 | 4 | | 101 – 125 | 3 | | 126 – 150 | 2 | | 151 – 175 | 0 | | 176 – 200 | 3 | | 201 – 225 | 0 | | 226 – 250 | 3 | | **Total** | **49** | **Explanation:** This table displays the frequency distribution of bear kills across 49 counties in Pennsylvania for the year 2014. The data is grouped into class intervals, where each interval represents a range of bear kills. The "Class Limits" column specifies the range, and the "Frequency" column records how many counties fall into each range. For example, 15 counties experienced 1 to 25 bear kills, while 12 counties experienced 26 to 50 bear kills, and so on. This distribution provides insights into the spread and concentration of bear kills across different regions.
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