Ten students took a test, and their scores are as follows: 20 82 90 35 60 61 65 75 79 80 (a). Find the sample variance. (b). Find the inter quartile range. (c). v them on the box-plot. Draw a box-plot for the above data in the space given below. If there are any outliers, make sure t to 20 30 40 50
Ten students took a test, and their scores are as follows: 20 82 90 35 60 61 65 75 79 80 (a). Find the sample variance. (b). Find the inter quartile range. (c). v them on the box-plot. Draw a box-plot for the above data in the space given below. If there are any outliers, make sure t to 20 30 40 50
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Question
![### Sample Variance and Interquartile Range Calculation
**Problem Statement:**
Ten students took a test, and their scores are as follows:
82, 90, 20, 35, 60, 61, 65, 75, 79, 80
---
**Tasks:**
(a) **Find the Sample Variance.**
(b) **Find the Interquartile Range (IQR).**
(c) **Draw a Box-Plot for the above data.** If there are any outliers, make sure to show them on the box-plot.
---
**Explanation of Diagram Elements:**
- The image contains two rectangular boxes drawn to the right of the text, presumably for answers related to sample variance and interquartile range.
- Below the text, there is a blank box-plot template provided with a number line ranging from 0 to 100, marked at intervals of 10.
---
To fulfill the tasks, calculate as follows:
**(a) Sample Variance Calculation:**
- Compute the mean (average) of the scores.
- Subtract the mean from each score to find the deviation of each score.
- Square each deviation.
- Find the average of these squared deviations (variance).
**(b) Interquartile Range Calculation:**
- Arrange the scores in ascending order.
- Identify the first quartile (Q1) and the third quartile (Q3).
- Calculate the Interquartile Range (IQR) as Q3 - Q1.
**(c) Box-Plot Construction:**
- Mark the minimum, Q1, median, Q3, and maximum values on the number line.
- Draw rectangles (boxes) between Q1 and Q3, and a line at the median.
- Identify any potential outliers and indicate them on the plot.
Ensure to complete these calculations before creating a finalized version of the box-plot.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Ff5d0a987-4a31-4736-b47b-369951464a34%2Ff4f972fe-fc38-4e00-bbe6-81710844bbdf%2F8sw19v9_processed.jpeg&w=3840&q=75)
Transcribed Image Text:### Sample Variance and Interquartile Range Calculation
**Problem Statement:**
Ten students took a test, and their scores are as follows:
82, 90, 20, 35, 60, 61, 65, 75, 79, 80
---
**Tasks:**
(a) **Find the Sample Variance.**
(b) **Find the Interquartile Range (IQR).**
(c) **Draw a Box-Plot for the above data.** If there are any outliers, make sure to show them on the box-plot.
---
**Explanation of Diagram Elements:**
- The image contains two rectangular boxes drawn to the right of the text, presumably for answers related to sample variance and interquartile range.
- Below the text, there is a blank box-plot template provided with a number line ranging from 0 to 100, marked at intervals of 10.
---
To fulfill the tasks, calculate as follows:
**(a) Sample Variance Calculation:**
- Compute the mean (average) of the scores.
- Subtract the mean from each score to find the deviation of each score.
- Square each deviation.
- Find the average of these squared deviations (variance).
**(b) Interquartile Range Calculation:**
- Arrange the scores in ascending order.
- Identify the first quartile (Q1) and the third quartile (Q3).
- Calculate the Interquartile Range (IQR) as Q3 - Q1.
**(c) Box-Plot Construction:**
- Mark the minimum, Q1, median, Q3, and maximum values on the number line.
- Draw rectangles (boxes) between Q1 and Q3, and a line at the median.
- Identify any potential outliers and indicate them on the plot.
Ensure to complete these calculations before creating a finalized version of the box-plot.
Expert Solution
![](/static/compass_v2/shared-icons/check-mark.png)
Step 1
Arrange the given data in ascending order :
20, 35, 60, 61, 65, 75, 79, 80, 82, 90
Sample variance :
Xi | |||
20 | 64.7000 | -44.7000 | 1998.0900 |
35 | 64.7000 | -29.7000 | 882.0900 |
60 | 64.7000 | -4.7000 | 22.0900 |
61 | 64.7000 | -3.7000 | 13.0900 |
65 | 64.7000 | 0.3000 | 0.0900 |
75 | 64.7000 | 10.3000 | 106.0900 |
79 | 64.7000 | 14.3000 | 204.4900 |
80 | 64.7000 | 15.3000 | 234.0900 |
82 | 64.7000 | 17.3000 | 299.2900 |
90 | 64.7000 | 25.3000 | 640.0900 |
Sample size, n = 10
Mean
Sample variance :
Sample variance is = 488.9
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