Cambridge IGCSE™ Statistics Coursebook with Digital Access (2 Years) (Cambridge International IGCSE)

Description

This coursebook will help your students build a confident working knowledge of concepts in probability and statistics. Students will develop their data literacy skills by using statistics in real-world contexts and analysing the results of statistical techniques. A wide range of activities provide opportunities to practise applying key statistical methods and measures, such as sampling, linear interpolation and standard deviation. Help your students prepare for further study by providing opportunities to display their practical skills, such as selecting an appropriate statistics technique for a given scenario. Suitable to support the Cambridge IGCSE™ statistics syllabus (0479) for examination from 2027.

Key Features

• Varied exercises throughout each unit encourage students to practise key skills in real-life contexts.
• Worked examples demonstrate the process of a specific task and provide examples of data interpretation, offering an ideal problem-solving structure to support students.
• Investigation tasks enable students to further enhance their knowledge by exploring key concepts in more depth.
• ‘Discussion’ feature encourages students to talk about what they have learnt and consider different techniques and interpretations of statistics.
• ‘Self-assessment’ feature encourages students to think about how they have approached each task and consider their level of understanding.
• ‘Reflection’ feature helps students consolidate their learning and consider how they could improve further.
• Self-evaluation checklists, with ‘I am able to’ statements linked to the learning intentions, help students review their knowledge.
• Support for English as a second language (ESL) learners with highlighted key words, supporting illustrations, and a clear language of instruction.
• Additional support for planning and teaching with the ‘Getting started’ feature, which helps you assess what students already know about each topic and identify any learning gaps.
• Useful formula is highlighted next to exercises where it may be used to aid calculations and tips are included to guide students through key topics.
• Accessibility Information: This publication meets the requirements of the EPUB Accessibility specification with conformance to WCAG 2.2 Level AA.

Table of Contents

1. Introduction
2. Data and its Collection
3. Types of data and variable
4. Surveys
5. Types of Sample
6. Basic Probability
7. Experiments, Outcomes and Events
8. Frequency Distributions of Ungrouped Data
9. Tabular representation
10. Pictorial Representation
11. Venn diagrams
12. Practice Questions
13. Frequency Distributions of Grouped Data
14. Grouped Discrete Data
15. Continuous Data
16. Pictorial representations
17. Measures of Central Tendency
18. Measures for Ungrouped Data
19. Measures for Grouped Data
20. Features of the Measures of Central Tendency
21. Chapter 6 Weighted Averages
22. Weighted means
23. Index Numbers
24. Crude and Standardised rates
25. Practice Questions
26. Measures of Dispersion
27. Range
28. Interquartile Range
29. Linear Interpolation from a Cumulative Frequency Table
30. Standard Deviation and Variance
31. Features of the Measures of Dispersion
32. Transformation of Data Sets
33. Derived Distributions
34. Scaling
35. Probability and Probability Distributions
36. Mutually Exclusive Events
37. Independent events
38. Conditional probabilities
39. Dependent events
40. Probability distributions and Expectation
41. Practice Questions
42. Bivariate Data
43. Correlation and Scatter Diagrams
44. Lines of best fit
45. Time Series
46. Variation and Trend in a time series
47. Seasonal Variation, trend line and moving averages
48. Seasonal Adjustment
49. Practice Questions
50. Answers to Exercises and Practice Questions
51. Glossary
52. Index