Time Based Data| Method of MOVING AVERAGES| Class 12th| Applied Maths| CBSE | 2025-26

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In this video, we cover Time-Based Data analysis using the Method of Moving Averages from Class 12 CBSE Applied Mathematics. This topic is part of the Statistics & Probability section and is explained step-by-step with solved examples as per the 2025–26 syllabus.

📌 What You’ll Learn in This Video:
✔️ Concept of Time-Based Data in Statistics
✔️ Importance of Time Series Analysis
✔️ Method of Moving Averages – explanation & derivation
✔️ Step-by-step solved examples (3-year & 5-year averages)
✔️ Applications of Moving Averages in real-life data analysis
✔️ Exam tips and shortcuts for quick calculations

🎯 Who Should Watch?
Class 12 Applied Mathematics students preparing for CBSE 2025–26 board exams, school tests, assignments, and competitive exams.

📚 Chapter: Statistics – Time Series Analysis
📝 Topic: Method of Moving Averages (Time-Based Data)
✅ Based on NCERT & CBSE 2025–26 curriculum

💡 Pro Tip: Always align your moving averages properly when solving — misplaced averages often lead to wrong trends.

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#TimeBasedData #MovingAverages #Class12AppliedMaths #AppliedMathematics #CBSE2025 #StatisticsClass12 #AppliedMathsCBSE #MathsBoardExam #MovingAverageMethod #class12maths

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