Chapter -6

STATISTICS

Introduction
In fact, you went a step further by studying certain numerical representatives of the ungrouped data, also called measures of central tendency, namely, mean, median and mode. In this chapter, we shall extend the study of these three measures, i.e., mean, median and mode from ungrouped data to that of grouped data. We shall also discuss the concept of cumulative frequency, the cumulative frequency distribution and how to draw cumulative frequency curves, called ogives.

Mean of Grouped Data
The mean (or average) of observations, as we know, is the sum of the values of all the observations divided by the total number of observations. From Class IX, recall that if x1, x2,…., xn are observations with respective frequencies f1,  f2, …., fnxn, then this means observation x1 occurs f1 times, x2 occurs f2 times, and so on.
Now, the sum of the values of all the observations = f1x1 + f2x2 + … + fnxn, and the number of observations = f1 + f2 + … + fn.
So, the mean    of the data is given by

Recall that we can write this in short form by using the Greek letter ∑ (capital sigma) which means summation. That is,
                      
Which, more briefly, is written as  if it is understood that I varies from 1 to n.
So, from Table 14.4, the mean of the deviations,

Now, let us find the relation between
and x.
Since in obtaining di, we subtracted ‘a’ from each xi, so, in order to get the mean  we need to add ‘a’ to . This can be explained mathematically as:

 

Mean of deviations,     

So,                               

                              
                     
                
       

 

Median of Grouped Data
As you have studied in Class IX, the median is a measure of central tendency which gives the value of the middle-most observation in the data. Recall that for finding the median of ungrouped data, we first arrange the data values of the observations in ascending order. Then, if n is odd, the median is the observation. And, if is even, then the

After finding the median class, we use the following formula for calculating the median.
         
Where                   l = lower limit of median class,
                                 n = Number of observations,
                                cf = Cumulative frequency of class preceding the median class,
                                
f = Frequency of median class,
                              
h = Class size (assuming class size to be equal).

Remarks:
1. There is an empirical relationship between the three measures of central tendency:
2 Median = Mode + 2 Mean
3. The median of grouped data with unequal class sizes can also be calculated. However, we shall not discuss it here. 

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