Chapter 11 Topics – Information Handling
Click on any topic to expand and view its exercises. Each section includes step-by-step solutions and real-world applications.
11.1 – Cumulative Frequency & Ogive
Cumulative frequency tables, Ogives, median, quartiles, deciles, percentiles
New 2026
This section covers constructing cumulative frequency tables and Ogives (cumulative frequency polygons). You'll learn to locate median, quartiles, deciles, percentiles, and interquartile range from the cumulative frequency curve.
11.1
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Exercise 11.1
Cumulative frequency & Ogive
11.2 – Box Plots, Scatter Diagrams & Dispersion
Box-and-whisker plots, scatter diagrams, correlation, range, variance, standard deviation
New 2026
This section covers box-and-whisker plots, scatter diagrams with lines of best fit, and measures of dispersion including range, variance, and standard deviation for grouped and ungrouped data.
11.2
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Exercise 11.2
Box plots, scatter diagrams, dispersion
Review Exercise 11
Complete revision and mixed practice problems
New 2026
The review exercise mixes questions from both sections of Chapter 11, giving you a chance to test whether you can move between topics without a hint about which method applies — a useful checkpoint before exams.
R
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Review Exercise 11
Complete Revision & Practice
Information Handling – What's Inside This Chapter (PECTAA 2026)
Chapter 11 – Information Handling is part of Class 10 Mathematics under the Revised National Curriculum 2023. Information handling is crucial in data analysis and decision making. This unit covers data collection, graphical representations, measures of central tendency, and interpretation for business analytics, research studies, and scientific data analysis.
Prepared by Muhammad Tayyab, Govt Christian High School Daska, this chapter's notes cover all 2 exercises plus the review exercise, with step-by-step solutions throughout.
✅ What This Chapter Covers
- ✓Data collection, graphical representations, statistical analysis, decision making
- ✓Step-by-step solved exercises for all 2 sections
- ✓Based on the PECTAA 2026 syllabus
- ✓A complete review exercise for revision
- ✓Free access, no downloads required
🌐 Why This Chapter Matters
Information handling is crucial in data analysis and decision making. This unit covers data collection, graphical representations, measures of central tendency, and interpretation for business analytics, research studies, and scientific data analysis.
Mastering this chapter builds a foundation for higher studies and board exam success under the PECTAA 2026 syllabus.
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Chapter 11: Information Handling
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