Data Handling

This chapter focuses on collecting, organising, and displaying data. Different types of data and methods of collecting data are explained. We will also understand tally tables, frequency tables, pictograms, bar charts, line graphs, etc.

This chapter introduces us to the concept of probability. Basic probability and relevant definitions are presented here. We will also understand theoretical probability and possibility diagrams alongside exploring combining independent and mutually exclusive events.

In this chapter, we will focus on averages and measures of spread. We will learn different types of average and how to calculate averages and ranges for frequency data and grouped continuous data. Percentiles and quartiles are also explored.

This chapter sheds light on scatter diagrams and correlation. It introduces us to bivariate data and its scatter diagrams. It also includes practice questions and illustrations to help us understand these diagrams.

This chapter talks about histograms and frequency distribution diagrams. We will learn to draw different types of histograms. Cumulative frequency tables, their curves, quartiles, and percentiles are also defined here.

This chapter features probability using tree diagrams and Venn diagrams. We will study how to use tree diagrams to show outcomes and calculate probability from tree diagrams and Venn diagrams. Conditional probability is also discussed.