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Grouped Data - Class Interval & Class Mark


    what you'll learn...

overview

In this page, class interval and class mark of grouped data is explained with some examples.

class interval

statistics grouped data

Consider the data given in the table. The height of 20 students are listed with number of students within the height range.

The number of students for each of the data value is called the frequency of that data value.

For example, the frequency of the class 85 to 90 is 5.

The range of the given data is 80 to 105.

In the given grouped data, the range 80 to 105 is divided into 5 classes.

The five classes are

 •  student height from 80 to 85

 •  student height from 85 to 90

 •  student height from 90 to 95

 •  student height from 95 to 100

 •  student height from 100 to 105

Each of the classes is of the size 5. This size of division or the range of one class, is called the "class interval".

The word "interval" means: gap; space between two things.

class mark

In the given grouped data, the range 80 to 105 is divided into 5 classes.

The center point of each class interval is class mark of that class.

 •  Class mark of 80-85 is 82.5

 •  Class mark of 85-90 is 87.5

 •  Class mark of 90-95 is 92.5

 •  Class mark of 95-100 is 97.5

 •  Class mark of 100-105 is 102.5

The word "mark" means: visible impression; indication of something.

Note that, the actual data values are not retained when the data is grouped into classes. The class mark is considered to be the representative value for all the grouped data in a class interval.

For example, the values of 81.2 and 84.6 are entered in the class 80 to 85. If the values are to be used for some computation (like computing mean), then instead of the actual values, the class mark 82.5 is used in their place.

summary

This size of division or the range of one class, is called the "class interval".

The center point of each class interval is class mark of that class.

Outline

The outline of material to learn "basics of statistics and probability" is as follows.

Note: Click here for detailed outline of "Basics of Statistics and Probability"

•   Introduction

    →   Introduction to Statistics

    →   Organizing Data : Tally Table

    →   Pictograph

    →   Bargraph

•   Data Analysis

    →   Cumulative Frequency

    →   Representative Values of Data

    →   Central Tendencies

    →   Bargraphs & Piecharts

•   Probability Fundamentals

    →   Predicting Future

    →   Random Experiment

    →   Probability

    →   Standard Experiments

•   Statistics Grouped Data

    →   Grouped Data

    →   Probability in Grouped Data

    →   Class Parameters of Grouped Data

    →   Methods to find Mean of Grouped data

    →   Mode of Grouped data

    →   Median of Grouped Data