E Question Help 2.1.40 Construct a frequency distribution and a relative frequency histogram for the accompanying data set using five classes. Which class has the greatest relative frequency and which has the least relative frequency? Click the icon to view the data set. Complete the table below, Use the minimum data entry as the lower limit of the first class. Class Frequency, f Relative frequency Σ- (Type integers or decimals. Round the class limits to the nearest whole number. Round all other values to the nearest thousandth as needed.)

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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**Title: Frequency Distribution and Relative Frequency Histogram**

**Objective:**
Learn how to construct a frequency distribution and create a relative frequency histogram for a given data set.

**Instructions:**
1. **Data Set Analysis:**
   - Construct a frequency distribution using five classes for the given data set.
   - Determine which class has the greatest and least relative frequency.

2. **Procedure:**
   - Click the icon to view the data set provided.
   - Complete the table with class intervals, their frequencies, and relative frequencies.
   - Use the minimum data entry as the lower limit of the first class.
   - Enter your data in the following table:

   | Class  | Frequency, f | Relative Frequency |
   |--------|--------------|--------------------|
   |        |              |                    |
   |        |              |                    |
   |        |              |                    |
   |        |              |                    |
   |        |              |                    |
   | \( \sum f = \) |              |                    |

3. **Guidelines:**
   - Type integers or decimals.
   - Round the class limits to the nearest whole number.
   - Round relative frequencies to the nearest thousandth if needed.

4. **Response:**
   - Enter your answers in the edit fields provided.
   - Click "Check Answer" to verify your work.

**Note:**
The bottom of the interface includes a progress bar showing "2 parts remaining" to complete the task.

**Diagram/Graph Explanation:**
There are no diagrams or graphs provided in the image, but students will be expected to create a relative frequency histogram based on their completed table.

**Conclusion:**
By completing this exercise, students will gain a better understanding of how to organize data into classes, calculate frequencies, and visualize data using a histogram.
Transcribed Image Text:**Title: Frequency Distribution and Relative Frequency Histogram** **Objective:** Learn how to construct a frequency distribution and create a relative frequency histogram for a given data set. **Instructions:** 1. **Data Set Analysis:** - Construct a frequency distribution using five classes for the given data set. - Determine which class has the greatest and least relative frequency. 2. **Procedure:** - Click the icon to view the data set provided. - Complete the table with class intervals, their frequencies, and relative frequencies. - Use the minimum data entry as the lower limit of the first class. - Enter your data in the following table: | Class | Frequency, f | Relative Frequency | |--------|--------------|--------------------| | | | | | | | | | | | | | | | | | | | | | \( \sum f = \) | | | 3. **Guidelines:** - Type integers or decimals. - Round the class limits to the nearest whole number. - Round relative frequencies to the nearest thousandth if needed. 4. **Response:** - Enter your answers in the edit fields provided. - Click "Check Answer" to verify your work. **Note:** The bottom of the interface includes a progress bar showing "2 parts remaining" to complete the task. **Diagram/Graph Explanation:** There are no diagrams or graphs provided in the image, but students will be expected to create a relative frequency histogram based on their completed table. **Conclusion:** By completing this exercise, students will gain a better understanding of how to organize data into classes, calculate frequencies, and visualize data using a histogram.
**Triglyceride Levels Data**

This dataset presents the triglyceride levels for 26 patients, measured in milligrams per deciliter of blood. The values are as follows:

- Row 1: 138, 202, 242, 145, 297, 177, 242, 217, 228
- Row 2: 182, 140, 267, 162, 177, 398, 169, 460, 144
- Row 3: 393, 149, 202, 297, 188, 319, 422, 162

This data can be used for statistical analysis, such as calculating means, medians, and understanding the distribution of triglyceride levels among patients.

### Explanation

There are no graphs or diagrams included in this image. The data is presented in a simple tabular format, ideal for teaching purposes in subjects such as biology, statistics, or health sciences.
Transcribed Image Text:**Triglyceride Levels Data** This dataset presents the triglyceride levels for 26 patients, measured in milligrams per deciliter of blood. The values are as follows: - Row 1: 138, 202, 242, 145, 297, 177, 242, 217, 228 - Row 2: 182, 140, 267, 162, 177, 398, 169, 460, 144 - Row 3: 393, 149, 202, 297, 188, 319, 422, 162 This data can be used for statistical analysis, such as calculating means, medians, and understanding the distribution of triglyceride levels among patients. ### Explanation There are no graphs or diagrams included in this image. The data is presented in a simple tabular format, ideal for teaching purposes in subjects such as biology, statistics, or health sciences.
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