Example 4 - Let us now consider the following frequency - Grouped Data


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Example 4 Let us now consider the following frequency distribution table which gives the weights of 38 students of a class: Suppose a students weight is 35.5, then we can’t know in which class to put him For this, we need to make data to be continuous. We observe that the gap is 36 − 35 = 1 So, (Gap )/2 = 1/2 = 0.5 ∴ we need to add 0.5 in each upper limit & subtract 0.5 from each lower limit to make class interval continuous. Thus, Continuous frequency distribution table is

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