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Aakdashastra Bhag2

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The Class XII Ākdaśāstra Bhag 2 textbook advances statistical knowledge with probability, correlation, regression, index numbers, and applications in economics, business, and research.
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The Ākdaśāstra Bhag 2 (Statistics – Part 2) textbook for Class XII, published by the Gujarat State School Textbook Board (GSSTB) under the GSEB curriculum, builds upon the fundamentals introduced in Bhag 1. It focuses on advanced topics in statistical theory and applications, enabling students to analyze, interpret, and apply statistical tools for academic and practical purposes.

🔑 Key Features:

  • Probability Theory – Rules of probability, random variables, and distributions.

  • Correlation & Regression – Methods, calculation, and interpretation in social science and commerce.

  • Index Numbers – Types, construction, and significance in economics and price analysis.

  • Time Series Analysis – Trends, seasonal variations, and forecasting techniques.

  • Statistical Inference – Basics of estimation, hypothesis testing, and sampling.

  • Applied Statistics – Practical applications in economics, business, and research fields.

  • Exercises & Case Studies – For strengthening conceptual clarity and problem-solving ability.

🎯 Learning Objectives:

  • To understand advanced statistical concepts and their real-world applications.

  • To develop analytical and problem-solving skills using statistical tools.

  • To interpret data scientifically for informed decision-making.

  • To prepare students for higher studies in economics, commerce, mathematics, data science, and research fields.

  • To build foundational knowledge for competitive exams and professional courses.

📚 Curricular Alignment:
Aligned with the GSEB Class XII Commerce/Arts curriculum, this book continues from Ākdaśāstra Bhag 1, together covering the complete syllabus of Class XII Statistics. It provides a strong base for academic excellence, higher education, and career opportunities in data-driven fields.

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Username 11 Nov 2024 06:40PM

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Username 11 Nov 2024 06:40PM

The product is good