Find the standard deviation for the grouped data Interval Frequency 0-3 15 10 4-7 8-11 12-15 16 16- 19 20- 23 1. O 5.0 4.5 O 5.4 4.8

Calculus: Early Transcendentals
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Chapter1: Functions And Models
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Problem 1RCC: (a) What is a function? What are its domain and range? (b) What is the graph of a function? (c) How...
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**Title: Calculating the Standard Deviation for Grouped Data**

**Objective:**  
Learn how to find the standard deviation for grouped data using a frequency distribution table.

### Data Table

The table below provides the frequency distribution for a dataset:

| Interval | Frequency |
|----------|-----------|
| 0 - 3    | 8         |
| 4 - 7    | 15        |
| 8 - 11   | 10        |
| 12 - 15  | 16        |
| 16 - 19  | 0         |
| 20 - 23  | 1         |

### Calculation Steps

1. **Identify Midpoints:**
   - Calculate the midpoint for each interval. The midpoint (\(x_i\)) is found by averaging the upper and lower boundaries of each interval.

2. **Calculate Mean:**
   - Determine the mean using the formula:  
     \[
     \bar{x} = \frac{\sum (f_i \cdot x_i)}{\sum f_i}
     \]
     where \(f_i\) is the frequency of the interval and \(x_i\) is the midpoint.

3. **Find Variance:**
   - Calculate the variance using:  
     \[
     \sigma^2 = \frac{\sum f_i \cdot (x_i - \bar{x})^2}{\sum f_i}
     \]

4. **Standard Deviation:**
   - Take the square root of the variance:  
     \[
     \sigma = \sqrt{\sigma^2}
     \]

### Multiple Choice Options

Choose the correct value for the standard deviation from the options below:

- ☐ 5.0
- ☐ 4.5
- ☐ 5.4
- ☐ 4.8

Use this framework to practice calculations and enhance your understanding of statistical analysis for grouped data.
Transcribed Image Text:**Title: Calculating the Standard Deviation for Grouped Data** **Objective:** Learn how to find the standard deviation for grouped data using a frequency distribution table. ### Data Table The table below provides the frequency distribution for a dataset: | Interval | Frequency | |----------|-----------| | 0 - 3 | 8 | | 4 - 7 | 15 | | 8 - 11 | 10 | | 12 - 15 | 16 | | 16 - 19 | 0 | | 20 - 23 | 1 | ### Calculation Steps 1. **Identify Midpoints:** - Calculate the midpoint for each interval. The midpoint (\(x_i\)) is found by averaging the upper and lower boundaries of each interval. 2. **Calculate Mean:** - Determine the mean using the formula: \[ \bar{x} = \frac{\sum (f_i \cdot x_i)}{\sum f_i} \] where \(f_i\) is the frequency of the interval and \(x_i\) is the midpoint. 3. **Find Variance:** - Calculate the variance using: \[ \sigma^2 = \frac{\sum f_i \cdot (x_i - \bar{x})^2}{\sum f_i} \] 4. **Standard Deviation:** - Take the square root of the variance: \[ \sigma = \sqrt{\sigma^2} \] ### Multiple Choice Options Choose the correct value for the standard deviation from the options below: - ☐ 5.0 - ☐ 4.5 - ☐ 5.4 - ☐ 4.8 Use this framework to practice calculations and enhance your understanding of statistical analysis for grouped data.
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