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

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### 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.
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
Step 1

a

Arrange the given data in ascending order :

20, 35, 60, 61, 65, 75, 79, 80, 82, 90

Sample variance :

Xi x Xi-x Xi-x2
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

Xi-x2 = 4400.1

Sample size, n = 10

Mean

X = 20+35+60+61+65+75+79+80+82+90

X = 647

X = Xn

   = 64710= 64.7

Sample variance :

S2 = Xi-xn-1

     = 4400.110-1= 488.9

Sample variance is = 488.9

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