RS Aggarwal Class 8 Solutions Chapter 21

An Overview of Data Handling

Data handling is an important part of RS Aggarwal Class 8 Solutions Math because it lays the groundwork for more difficult topics like statistics and probability. It is very important for students in class 8 to learn these chapters well. Some of the most important ideas that are talked about in this chapter are:

• Raw data is a type of information that is not organized.
• We should always set up data in a systematic way if we want to draw useful conclusions from it.
• Frequency means how many times a certain entry shows up.
• In a grouped frequency distribution, the raw data are put together in a way that makes sense.
• The histogram is a way to show grouped data.
• Histograms are a type of bar chart in which the horizontal axis shows the number of class intervals and the bars shows how often each class interval occurs.
• You can also show information with pie charts.
• Circle graphs are another name for pie charts.
• Random experiments are ones where the results cannot be predicted in advance.
• When each result of an experiment has the same chance of happening, these are equally likely results.
• The number of outcomes of an event divided by the total number of outcomes of the experiment gives the probability of an experiment.
• An event is the result of more than one experiment.
• Probability and chances are important in the real world.

What does Data mean?

Data is the information or facts that are collected through observations and measurements.

The real meaning of data can only be shown through examples: Let’s say your teacher gives the whole class a physics unit test. The next day, she gives out the grades, and you find out you got 8/10. Your best friend got an 8.5/10 as well. In the same way, everyone in the class got some marks. Data is the name for the grades you and your classmates got.

In math, we work with quantitative data, which is information that can be shown with numbers. Quantitative data is something like the grades you and your classmates got.

There are two kinds of data: “raw data” and “grouped data.”

• Raw Data: When the data is collected, it is not set up in a logical way. Instead, it is given in random order. This kind of data is called “raw data.”
• Grouped Data: When the raw data collected is put into groups in a methodical way, this is called “grouped data.”

What is Data Handling?

Data Handling means putting information in a way that makes sense. It involves gathering data, writing it down, analyzing it, and showing it in a way that helps people understand it and draw conclusions from it.

Most of the time, data is collected in a way that is not organized. This kind of information that isn’t put together is called “raw data.” In data handling, raw data is put together in a way that makes sense.

What does Frequency mean?

The number of times observation is made during a study is called its frequency. In the example above, three students like strawberry ice cream, so the frequency of strawberry ice cream is 4. In the same way, there are 5, 3, and 3 scoops of vanilla, chocolate, and another ice cream, respectively.

When we put the frequency of the data in a table, we have what is called a frequency distribution table.

What does “Class Interval” mean?

The range of each group of raw data is called the class interval. One example of a class interval is the range from 1 to 10, 11 to 20, and 21 to 30.

What are Pictographs?

A pictograph is a way to show information with the help of the right pictures. In a data presentation, each picture or symbol stands for a specific value.

What are Bar and Double Bar Graphs?

• Bar graphs are pictures that show data in the form of bars with the same width but different heights depending on the value of the data.
• A double bar graph shows two sets of information simultaneously in a bar graph. This kind of graph is used to compare the information.