A simple quantitative data set has been provided. Use limit grouping with a first class of 0–4 and a class width of 5 to complete parts (a) through (d) for this data set.Data set: 20, 4, 9, 25, 26, 14, 6, 12, 25, 2, 4, 0, 10, 3, 22, 12, 2, 15, 10c. Construct a frequency histogram based on your result from part (a). Choose the correct histogram below.Options:- A. Bars frequency: [2, 5, 4, 3, 3]- B. Bars frequency: [4, 4, 2, 4, 3]- C. Bars frequency: [2, 4, 3, 4, 5]- D. Bars frequency: [5, 4, 2, 4, 3]Each bar on the histograms corresponds to class intervals marked on the x-axis with frequency on the y-axis.d. Construct a relative-frequency histogram based on your result from part (b). Choose the correct histogram below.Options:- A. Bars relative frequency: [0.1, 0.25, 0.2, 0.15, 0.15]- B. Bars relative frequency: [0.25, 0.2, 0.1, 0.2, 0.15]- C. Bars relative frequency: [0.1, 0.2, 0.15, 0.2, 0.25]- D. Bars relative frequency: [0.25, 0.2, 0.1, 0.2, 0.15]Each bar on the relative-frequency histograms corresponds to class intervals marked on the x-axis with relative frequency on the y-axis. **Quantitative Data Set Analysis**A simple quantitative data set has been provided. Use limit grouping with a first class of 0–4 and a class width of 5 to complete parts (a) through (d) for this data set. The data consists of the following values:20, 4, 9, 9, 25, 26, 14, 6, 12, 25, 2, 4, 0, 10, 3, 22, 12, 2, 15, 10### a. Determine a Frequency Distribution**Table of Frequency Distribution**| Class | Frequency ||-------|-----------|| 0–4 | || | || | || | || | |*The table is to be filled with the frequency of data points falling within each class range.*### b. Obtain a Relative-Frequency Distribution**Table of Relative-Frequency Distribution**| Class | Relative Frequency ||-------|--------------------|| 0–4 | || | || | || | || | |*The table is to be filled with the relative frequency of data points, calculated as the frequency of each class divided by the total number of data points.*### Additional Instructions- Compute the frequencies by counting the number of data points within each class range.- Calculate relative frequencies by dividing the frequency of each class by the total number of observations in the data set.This analysis will help in understanding the data distribution and pattern.

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Description: A simple quantitative data set has been provided. Use limit grouping with a first class of 0–4 and a class width of 5 to complete parts (a) through (d) for this data set.Data set: 20, 4, 9, 25, 26, 14, 6, 12, 25, 2, 4, 0, 10, 3, 22, 12, 2, 15, 10c.

For the given data grouped frequency distribution is Part a & b: Class interval Frequency…

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Statistics

A simple quantitative data set has been provided. Use limit grouping with a first class of 0-4 and a class width of 5 to complete parts (a) through (d) for this data set. 20 4 9. 9 25 26 14 12 25 10 2 4. 22 12 15 10

A simple quantitative data set has been provided. Use limit grouping with a first class of 0-4 and a class width of 5 to complete parts (a) through (d) for this data set. 20 4 9. 9 25 26 14 12 25 10 2 4. 22 12 15 10

MATLAB: An Introduction with Applications

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ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

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Question

A simple quantitative data set has been provided. Use limit grouping with a first class of 0–4 and a class width of 5 to complete parts (a) through (d) for this data set.

Data set: 20, 4, 9, 25, 26, 14, 6, 12, 25, 2, 4, 0, 10, 3, 22, 12, 2, 15, 10

c. Construct a frequency histogram based on your result from part (a). Choose the correct histogram below.
Options:
- A. Bars frequency: [2, 5, 4, 3, 3]
- B. Bars frequency: [4, 4, 2, 4, 3]
- C. Bars frequency: [2, 4, 3, 4, 5]
- D. Bars frequency: [5, 4, 2, 4, 3]

Each bar on the histograms corresponds to class intervals marked on the x-axis with frequency on the y-axis.

d. Construct a relative-frequency histogram based on your result from part (b). Choose the correct histogram below.
Options:
- A. Bars relative frequency: [0.1, 0.25, 0.2, 0.15, 0.15]
- B. Bars relative frequency: [0.25, 0.2, 0.1, 0.2, 0.15]
- C. Bars relative frequency: [0.1, 0.2, 0.15, 0.2, 0.25]
- D. Bars relative frequency: [0.25, 0.2, 0.1, 0.2, 0.15]

Each bar on the relative-frequency histograms corresponds to class intervals marked on the x-axis with relative frequency on the y-axis.

**Quantitative Data Set Analysis**

A simple quantitative data set has been provided. Use limit grouping with a first class of 0–4 and a class width of 5 to complete parts (a) through (d) for this data set. The data consists of the following values:

20, 4, 9, 9, 25, 26, 14, 6, 12, 25, 2, 4, 0, 10, 3, 22, 12, 2, 15, 10

### a. Determine a Frequency Distribution

**Table of Frequency Distribution**

| Class | Frequency |
|-------|-----------|
| 0–4 | |
| | |
| | |
| | |
| | |

*The table is to be filled with the frequency of data points falling within each class range.*

### b. Obtain a Relative-Frequency Distribution

**Table of Relative-Frequency Distribution**

| Class | Relative Frequency |
|-------|--------------------|
| 0–4 | |
| | |
| | |
| | |
| | |

*The table is to be filled with the relative frequency of data points, calculated as the frequency of each class divided by the total number of data points.*

### Additional Instructions

- Compute the frequencies by counting the number of data points within each class range.
- Calculate relative frequencies by dividing the frequency of each class by the total number of observations in the data set.

This analysis will help in understanding the data distribution and pattern.

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