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BECC 107 Statistical Methods for Economics | Quick Readable Notes For IGNOU Exam

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BECC 107 Statistical Methods for Economics | Quick Readable Notes For IGNOU Exam

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BECC 107 covers essential statistical methods for economic analysis, equipping students with the tools to interpret data and conduct research.
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  • Comprehensive coverage of statistical concepts
  • Practical applications in economic analysis
  • Easy-to-understand explanations
  • Aligned with exam requirements
Category : BACHELOR'S (HONOURS) DEGREE PROGRAMMES
Sub Category : Bachelor of Arts (Honours) Economics (BAECH)
Products Code : HON-C-EC-4.00
HSN Code : 490110
Language : English
Author : BMAP EDUSERVICES PVT LTD
Publisher : BMAP EDUSERVICES PVT LTD
University : IGNOU (Indira Gandhi National Open University)
Pages : 100-130
Weight : 157gms
Dimensions : 21.0 x 29.7 cm (A4 Size Pages)



Details

BECC 107 Statistical Methods for Economics is an essential course for students pursuing a Bachelor's (Honours) Degree in Economics. This book provides a thorough understanding of statistical methods used in economic analysis, offering clear explanations and practical examples. It covers a range of topics, including descriptive statistics, probability theory, hypothesis testing, and regression analysis. By studying this book, students will gain the skills necessary to analyze data, interpret results, and conduct independent research.

Benefits:

  • Comprehensive Coverage: The book includes all key topics in the syllabus, ensuring students are well-prepared for exams.
  • Practical Applications: Real-world examples help students understand how statistical methods are used in economic research.
  • Exam Preparation: Focused on exam-oriented content, this book provides quick, readable notes to aid in revision.
  • User-Friendly: Written in a clear and accessible style, making complex concepts easy to grasp.

Content:

  • Introduction to Statistics in Economics
  • Descriptive Statistics: Understanding data through mean, median, mode, and graphical representations.
  • Probability Theory: Basics of probability, random variables, and probability distributions.
  • Hypothesis Testing: Techniques for testing economic theories and models.
  • Regression Analysis: Simple and multiple regression techniques for economic data analysis.
  • Advanced Topics: Time series analysis, index numbers, and sampling methods.
  • Practical Examples: Application of statistical methods in real-world economic scenarios.
  • Exam Tips: Focused content to help students score well in exams, with concise notes and summaries.

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