MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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I ned help with this one please thank you

### Analysis of Frequency Distribution

#### Task Overview
Identify the lower class limits, upper class limits, class width, class midpoints, and class boundaries for the given frequency distribution. Also, identify the number of individuals included in the summary.

#### Frequency Distribution
| Age (yr) when award was won | Frequency |
|-----------------------------|-----------|
| 10-13                       | 27        |
| 14-17                       | 34        |
| 18-21                       | 13        |
| 22-25                       | 2         |
| 26-29                       | 4         |
| 30-33                       | 2         |
| 34-37                       | 2         |

### Steps to Identify Distribution Characteristics:

#### 1. Identify the Upper Class Limits
```plaintext
13, 17, 21, 25, 29, 33, 37
```
(Type integers or decimals. Do not round. Use ascending order.)

#### 2. Identify the Class Width
```plaintext
4
```
(Type an integer or a decimal. Do not round.)

#### 3. Identify the Class Midpoints
```plaintext
11.5, 15.5, 19.5, 23.5, 27.5, 31.5, 35.5
```
(Type integers or decimals. Do not round. Use ascending order.)

#### 4. Identify the Class Boundaries
```plaintext
(Type integers or decimals. Do not round. Use ascending order.)
```

**Graphs and Diagrams Explanation:**
- The provided information does not contain any graphical material. However, the table displays the ages when awards were won and the respective frequency of individuals winning at those ages. Listing the upper class limits, class width, class midpoints, and class boundaries allows for a detailed analysis of the distribution and is crucial for statistical evaluation.

### Number of Individuals Included
The sum of the frequency values gives the total number of individuals in the summary:
\[ 27 + 34 + 13 + 2 + 4 + 2 + 2 = 84 \]

So, the total number of individuals included in the summary is **84**.

### Conclusion
By identifying these characteristics, you can gain a deeper understanding of the distribution and patterns within the given data set. This is an essential part of statistical analysis and helps in deriving meaningful conclusions from the data.
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Transcribed Image Text:### Analysis of Frequency Distribution #### Task Overview Identify the lower class limits, upper class limits, class width, class midpoints, and class boundaries for the given frequency distribution. Also, identify the number of individuals included in the summary. #### Frequency Distribution | Age (yr) when award was won | Frequency | |-----------------------------|-----------| | 10-13 | 27 | | 14-17 | 34 | | 18-21 | 13 | | 22-25 | 2 | | 26-29 | 4 | | 30-33 | 2 | | 34-37 | 2 | ### Steps to Identify Distribution Characteristics: #### 1. Identify the Upper Class Limits ```plaintext 13, 17, 21, 25, 29, 33, 37 ``` (Type integers or decimals. Do not round. Use ascending order.) #### 2. Identify the Class Width ```plaintext 4 ``` (Type an integer or a decimal. Do not round.) #### 3. Identify the Class Midpoints ```plaintext 11.5, 15.5, 19.5, 23.5, 27.5, 31.5, 35.5 ``` (Type integers or decimals. Do not round. Use ascending order.) #### 4. Identify the Class Boundaries ```plaintext (Type integers or decimals. Do not round. Use ascending order.) ``` **Graphs and Diagrams Explanation:** - The provided information does not contain any graphical material. However, the table displays the ages when awards were won and the respective frequency of individuals winning at those ages. Listing the upper class limits, class width, class midpoints, and class boundaries allows for a detailed analysis of the distribution and is crucial for statistical evaluation. ### Number of Individuals Included The sum of the frequency values gives the total number of individuals in the summary: \[ 27 + 34 + 13 + 2 + 4 + 2 + 2 = 84 \] So, the total number of individuals included in the summary is **84**. ### Conclusion By identifying these characteristics, you can gain a deeper understanding of the distribution and patterns within the given data set. This is an essential part of statistical analysis and helps in deriving meaningful conclusions from the data.
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