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Question: Find the median value from the given table by drawing the curve of the values. Weight (In kgs.)|...

Find the median value from the given table by drawing the curve of the values.

Weight (In kgs.)No. of students
Less than 383800
Less than 404033
Less than 424255
Less than 444499
Less than 46461414
Less than 48482828
Less than 50503232
Less than 52523535
Explanation

Solution

We will plot a cumulative frequency curve for the given distribution also called an ogive and then find the median using the graph.

Complete step-by-step solution:
From the question we know the cumulative frequency of the distribution. Since the last cumulative frequency is 3535 the given sample has the weight of total 3535 students.
Now, we have to plot the graph with taking the upper limit of weight on X-axis and the respective cumulative frequency on the Y-axis to get the less than ogive.
The points to be plotted to make a less than ogive are on the graph are: (38,0),(40,3),(42,5),(44,9),(46,14),(48,28),(50,32),(52,35)(38,0),(40,3),(42,5),(44,9),(46,14),(48,28),(50,32),(52,35)

The Curve in the above graph is the Cumulative Frequency Curve i.e. the ogive.
Now to find the median:
Let NN be the total number of students whose data is given.
Also, NN will be the cumulative frequency of the last interval.
We find the [N2]th{\left[ {\dfrac{N}{2}} \right]^{th}} item and mark it on the y-axis.
In this case the [N2]th{\left[ {\dfrac{N}{2}} \right]^{th}} item is (35/2)(35/2) = 17.517.5 student.
We draw a perpendicular from 17.517.5 to the right to cut the Ogive curve.
From where the Ogive curve is cut, draw a perpendicular on the x-axis. The point at which it touches the x-axis will be the median value of the series as shown in the graph:

\therefore From the above Graph we can see that the median is almost 4747 which is the required answer.

Note: The cumulative frequency should always be plotted on the Y-axis to get a correct ogive.
This was an example of a less than ogive, there also exists a more than ogive, in this type of ogive while making the cumulative frequency table, all the succeeding terms in the distribution should be added to a term in the table.