NCERT Book Class 9th Maths Chapter 12 Statistics PDF Download
Class 9th Maths Chapter 12 – Download NCERT Book Statistics Class 9th PDF to your device directly without any ads or redirect.
| PDF Name | Statistics – NCERT Book Class 9th Maths Chapter 12 |
|---|---|
| Number Of Pages | 16 |
| PDF Size | 1.3 MB |
| Language | English |
PDF PREVIEW
Introduction to Class 9th Maths Chapter 12
The Class 9th Maths Chapter 12 Statistics discusses the graphical representation of data. The chapter covers different types of graphical representations, including bar graphs, histograms, and frequency polygons. The chapter explains how these graphical representations can be used to understand and compare data.
The chapter also provides examples of how to draw histograms and frequency polygons based on given data. Overall, Statistics class 9 PDF aims to help readers understand how to present data in a clear and concise manner using graphical representations.
What will you learn from this chapter?
In this Class 9th Maths Chapter 12, the Statistics you will learn about the graphical representation of data. The chapter covers different types of graphical representations, including bar graphs, histograms, and frequency polygons. You will learn how to use these graphical representations to understand and compare data.
The chapter provides examples of how to draw histograms and frequency polygons based on given data. The goal of the chapter is to help you learn how to present data in a clear and concise manner using graphical representations.
Frequently Asked Questions
What is the purpose of graphical representation of data?
The purpose of graphical representation of data is to present data in a clear and concise manner that is easy to understand and interpret.
What are the different types of graphical representations discussed in this chapter?
The different types of graphical representations discussed in this chapter include bar graphs, histograms, and frequency polygons. Bar graphs are used to represent data by drawing bars of uniform width with equal spacing between them on one axis, depicting the variable. Histograms are used to represent the frequency distribution of a set of continuous data, while frequency polygons use lines to connect points representing the frequencies of a set of continuous data.
How can bar graphs be used to represent data?
Bar graphs are used to represent data by drawing bars of uniform width with equal spacing between them on one axis, depicting the variable. The values of the variable are shown on the other axis and the heights of the bars depend on the values of the variable.
What is a histogram and how is it used to represent data?
A histogram is a graphical representation of data that uses bars to represent the frequency distribution of a set of continuous data.
What is a frequency polygon and how is it used to represent data?
A frequency polygon is a graphical representation of data that uses lines to connect points representing the frequencies of a set of continuous data.
How do you draw a histogram or frequency polygon based on given data?
To draw a histogram or frequency polygon based on given data, you need to first determine the frequency distribution of the data and then plot the data points on a graph using the appropriate scale.
What are the advantages of using graphical representations to present data?
The advantages of using graphical representations to present data include making it easier to understand and interpret data, highlighting patterns and trends in the data, and making it easier to compare data.
How can graphical representations help in comparing data?
Graphical representations can help in comparing data by providing a visual representation of the data that makes it easier to see similarities and differences between different sets of data.
Can you provide examples of real-life situations where graphical representations are useful?
Examples of real-life situations where graphical representations are useful include presenting sales data, analyzing survey results, and comparing demographic data.
What are some common mistakes to avoid when creating graphical representations of data?
Common mistakes to avoid when creating graphical representations of data include using inappropriate scales, distorting the data, and using misleading labels or titles.