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Median of a distribution is the value of...

Median of a distribution is the value of the variable which divides it into equal parts . In case of individual observations `x_1,x_2` .. `x_n`, if the number of observations is odd, then median is the value of `((n+1)/2)` th observation when the observations have been arranged in ascending or descending order of magnitude. In case of even number of observations median is the A.M. of the values of `(n/2)`th and `(n/2+1)` th observations, arranged in ascending or descending order of magnitude . The mode of distribution is that value of the variable for which the frequency is maximum .
Median of the distribution 8,5,7,9,13,11,20,23 , 25 ,28 , 27 is

A

(a)11

B

(b)13

C

(c)12

D

(d)20

Text Solution

AI Generated Solution

The correct Answer is:
To find the median of the given distribution of numbers \(8, 5, 7, 9, 13, 11, 20, 23, 25, 28, 27\), we will follow these steps: ### Step 1: Arrange the Observations in Ascending Order First, we need to arrange the given observations in ascending order: - The original numbers are: \(8, 5, 7, 9, 13, 11, 20, 23, 25, 28, 27\). - Arranging them in ascending order gives us: \(5, 7, 8, 9, 11, 13, 20, 23, 25, 27, 28\). ### Step 2: Count the Number of Observations Next, we count the total number of observations: - The arranged list has 11 numbers: \(5, 7, 8, 9, 11, 13, 20, 23, 25, 27, 28\). - Therefore, \(n = 11\). ### Step 3: Determine if \(n\) is Odd or Even Since \(n = 11\) is odd, we will use the formula for the median for an odd number of observations: - The median is the \(\left(\frac{n + 1}{2}\right)\)th observation. ### Step 4: Calculate the Position of the Median Now, we calculate the position of the median: \[ \text{Position} = \frac{n + 1}{2} = \frac{11 + 1}{2} = \frac{12}{2} = 6 \] This means the median is the 6th observation in the ordered list. ### Step 5: Identify the Median Value Now, we find the 6th observation in the arranged list: - The arranged list is: \(5, 7, 8, 9, 11, 13, 20, 23, 25, 27, 28\). - The 6th observation is \(13\). ### Final Answer Thus, the median of the distribution is \(13\). ---
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