## NCERT Solutions for Class 11 Statistics Chapter 3 - Organisation of Data

1. What is the advantage of classifying things, explain?

Classification is a process of data organisation which includes separating it into different groups. In this process, students will first need to identify what makes these data differ from one another. They are then supposed to group this data based on similarity.

By segregating data, students can analyze it more effectively. This method is more prevalently used in the process of risk management in an organization. This chapter has been included in the NCERT syllabus, for students to grasp the concept of statistics with ease.

2. What are variables, and explain discrete as well as continuous variables?

Variation refers to numerical values that keep changing based on circumstances and time. It got its name, due to its unique characteristics, which is, that it keeps changing or varying. There are two kinds of variation that you will learn about in this lesson, which is discrete and continuous.

Discrete variables refer to whole numbers that tend to increase finitely. In comparison, a continuous variable is capable of taking up any numerical value and can increase infinitely. For example, the number of workers in a factory is a discrete variable, whereas the height and weight of these workers can be classified as continuous variables.

3. What are the inclusive and exclusive methods of data classification?

Students can also classify data based on exclusive and inclusive. Exclusive frequency distribution is a numerical table. Here, the upper-class limit of the first value becomes the lower class limit of the second value.

The inclusive method, on the other hand, comprises both the upper and the lower class limit within the series. This allows in proper segregation without creating any confusion for the student. The NCERT solution focuses on this section as it carries most marks weightage. This is why students will need to study this part of the chapter properly if they wish to score well.