Median - Measures of Central Tendency, Business Mathematics & Statistics

# Median - Measures of Central Tendency, Business Mathematics & Statistics - Business Mathematics and Statistics - B Com

MEDIAN :
Definition If a set of observation are arranged in order of magnitude (ascending or descending), then the middle most or central value gives the median. Median divides the observations into two equal parts, in such a way that the number of observations smaller than median is equal to the number greater than it. It is not affected by extremely large or small observation. Median is, thus an average of position. In certain sense, it is the real measure of central tendency.

So Median is the middlemost value of all the observations when they are arranged in ascending order of magnitudes.

Calculation of Median : (A) For simple data or Series of Individual Observations :

Individual observations are those observations (or variates) having no frequencies or frequency is unit every case.

At first, the numbers are to arranged in order of magnitude (ascending or descending). Now for n (the total number of items) odd.

Median = value of item and for n even

Median = average value th item and th item.

or, median = value of th item (n = odd or even)

[Note : item gives the location of median, but not its magnitude]

Steps to calculate Median 1. Arrange the data in ascending or descending order. 2. Find n (odd or even). 3. Apply usual formula and calculate.

Example 25 : To find the median of the following marks obtained by 7 students : 4, 12, 7, 9, 14, 17, 16.
(i) Arrangement of marks : 4, 7, 9, 12, 14, 16, 17.
(ii) n = 7 = an odd number
(iii) Median = value of th item = value of item = value of 4 th item = 12 (from the arranged data
∴ median is 12 marks.

[Note : Unit of the result will be same as given in original variate.]

Example 26 : To find the median of marks : 4, 12, 7, 9, 14, 17, 16, 21
(i) Arrangement : 4, 7, 9, 12, 14, 16, 17, 21. (ii) n = 8 = an even number
(iii) Median = average value of n/2 th item and th i.e.

= average value of 8/2 th item and the next item
= average value of 4th item and the 5th item

= average value of 12 and 14 marks = Alternative
way Median = value of th item = value of h item = value 4.5th item = 1/2 (value of 4th item and value of 5th item) (B) For Direct Series (or simple Frequency Distribution) Cumulative frequency (less than type) is calculated. Now the value of the variable corresponding to the cumulative frequency gives the median, when N is the total frequency.

Example 27 : To find the median of the following

x :    1     2      3     4       5      6
y :    7    12   17   19    21     24 Now, median = value of t th item = value of item = value of 50.5th item.

From the last column, it is found 50.5 is greater than the cumulative frequency 36, but less than the next cum. Freq. 55 corresponding to x = 4. All the 19 items (from 37, to 55) have the same variate 4. And 50.5 item is also one of those 19 item.

∴ Median = 4.

(C) For Continuous Series (Grouped Frequency Distribution) We are to determine the particular class in which the value of the median lies. by using the formula n/2 (and not by , as in continuous series N/2 divides the area of the curve into two equal parts). After locating median, its magnitude is measured by applying the formula interpolation given below:  Where l1 = lower limit of the class in which median lies,
l2 = Lower limit of the class in which median lies.
fm = the frequency of the class in which median falls.

m = middle item (i.e., item at which median is located or N/2 th item).
C = cumulative frequency less than type of the class preceding the median class,

[Note : The above formula is based on the assumption that the frequencies of the class-interval in which median lies are uniformly distributed over the entire class-intrerval]

Remember : In calculating median for a group frequency distribution, the class-intervals must be in continuous forms. If the class-intervals are given in discrete forms. They are to be converted first into continuous or class-boundaries form and hence to calculate median, apply usual formula.

Example 28 : Find the median and median-class of the data given below :–– Solution : Median = value of th Nth/2 item = value of th 50th/2 item = value of 25th item, which is greater than cum. Freq. 15. So median lies in the class 35–45. where l 1 = 35, l 2 = 45, f = 19, m = 25, c = 15 required median is 40.26 and median-class is (35 – 45).

Example 29: Calculate the median of the table given below :
Class interval : 0–10   10–20    20–30      30–40      40–50
Frequency :      5            4             6             3               2 median = value of th Nth/2 term = value of 20/2 (=10)th term, median class is (20–30).  Calculation of Median from Discrete Grouped Distribution

If the class intervals of grouped frequency distribution are in discrete form, at first they are to be converted into class-boundaries and hence to find median by applying usual formula. The idea will be clear from the following example. Compute median class and median.

Solution :

The class intervals are in discrete form. They are to be converted to class boundaries first, which is shown below : Median = value of th Nth/2 term = values of th 62th/2 term or value of 31st term
∴ Median lies in (39.5 – 49.5) here l 1 = 39.5, l 2 = 49.5, fm = 20, m = 31, c = 27  Calculation of median from cumulative frequency distribution

In this case at first cumulative frequency is to be converted into general group frequency distribution. Then applying usual formula median is to be calculated.

Example 31 : Solution : The general group frequency distribution is as follows : –– median = value of th Nth/2 term = value of th 22th/2 term = value of 11th term
∴median class is ( 20 – 30) = 20 + 10/9 (11 – 8), here l1 = 20 l 2 = 30, fm = 9, m = 11, c = 8

= 20 + 10/9  = 20 + 3.33 = 23.33 marks

Note : If the cumulative frequency distribution is given in ‘more than type’ form then also the same procedure is to be followed.

Example 32 : Calculate the median of the frequency distributions
Marks :                 1–20     21–40       41–60      61–80       81–100
No. of students :     3             5               9              3                2

Solution : The class intervals: are in discrete forms, so they are to be made in class boundaries at first Median = value of 22th/2 th term = values of 11th term ∴ Median class is (40.5 – 60.5)   Calculation of median from open ends class intervals :
Since the first and last class intervals are not required in computing median, so in case of open end classintervals median is calculated by usual process. For example, in the above example it the lower-limit of first class interval (i.e.0) and upper limit of last class (i.e. 5) are not given question, there would be no difficulty to compute median. In case of open end class-intervals, median is preferred than A.M. as average
Finding of missing frequency
The idea of finding missing frequency will be clear from the following example It is given that median of the above distribution is 32.5 marks. Find the missing frequency
Solution : Here Median = 32.5 (given), so median class is (30–40).

Let f3 be the missing frequency, From the formula, We get,  (i) The median, unlike the mean, is unaffected by the extreme values of the variable.
(ii) It is easy to calculate and simple to understand, particularly in a series of individual observations a discrete series.
(iii) It is capable of further algebraic treatment. It is used in calculating mean deviation.
(iv) It can be located by inspection, after arranging the data in order of magnitude.
(v) Median can be calculated even if the items at the extreme are not known, but if we know the central items and the total number of items.
(vi) It can be determined graphically.

(i) For calculation, it is necessary to arrange the data; other averages do not need any such arrangement.
(ii) It is amenable to algebraic treatment in a limited sense, Median cannot be used to calculate the combined median of two or more groups, like mean.
(iii) It cannot be computed precisely when it lies between two items.
(iv) Process involved to calculate median in case of continuous series is difficult to follow.
(v) Median is affected more by sampling fluctuations than the mean.

The document Median - Measures of Central Tendency, Business Mathematics & Statistics | Business Mathematics and Statistics - B Com is a part of the B Com Course Business Mathematics and Statistics.
All you need of B Com at this link: B Com

115 videos|142 docs

## FAQs on Median - Measures of Central Tendency, Business Mathematics & Statistics - Business Mathematics and Statistics - B Com

 1. What is the median in statistics? The median is a measure of central tendency in statistics that represents the middle value of a set of data when arranged in ascending or descending order. It divides the data into two equal halves, with half of the values being smaller than the median and the other half being larger.
 2. How do you find the median of a set of numbers? To find the median of a set of numbers, you need to follow these steps: 1. Arrange the numbers in ascending or descending order. 2. If the number of values is odd, the median is the middle value. 3. If the number of values is even, the median is the average of the two middle values. For example, if we have the set of numbers {2, 4, 6, 7, 9}, the median would be 6, as it is the middle value. However, for the set {1, 3, 5, 7, 9, 10}, the median would be (5 + 7) / 2 = 6, as there are two middle values.
 3. What is the significance of the median in data analysis? The median is significant in data analysis because it is not affected by extreme values or outliers. Unlike the mean, which can be heavily influenced by extreme values, the median provides a more robust measure of central tendency. It represents the typical or middle value of a dataset and is especially useful when dealing with skewed or non-normal distributions.
 4. When should I use the median instead of the mean? You should use the median instead of the mean in the following situations: 1. When dealing with skewed or non-normal distributions: The median is less affected by extreme values, making it a better measure of central tendency for such distributions. 2. When the data contains outliers: Outliers can heavily influence the mean, but the median remains unaffected. In such cases, the median provides a more accurate representation of the central value. 3. When working with ordinal or categorical data: The median can be used to determine the middle value in ordered categories or ranks.
 5. Can the median be used with any type of data? Yes, the median can be used with any type of data, including numerical, ordinal, and categorical data. It is a versatile measure of central tendency that is not restricted to a specific data type. However, it is important to note that the interpretation and significance of the median may vary depending on the type of data being analyzed.

115 videos|142 docs Explore Courses for B Com exam Signup to see your scores go up within 7 days! Learn & Practice with 1000+ FREE Notes, Videos & Tests.
10M+ students study on EduRev
Track your progress, build streaks, highlight & save important lessons and more!
Related Searches

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

;