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MST 016 Statistical Inference| IN-DEPTH STUDY GUIDE for IGNOU

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MST 016 Statistical Inference| IN-DEPTH STUDY GUIDE for IGNOU

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This comprehensive guide on Statistical Inference offers detailed insights and practical applications, essential for MSCAST students to master inferential statistics and excel in their coursework and exams.
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  • In-depth coverage of estimation theory.
  • Detailed analysis of hypothesis testing.
  • Practical examples and real-world applications.
  • Complete alignment with the IGNOU syllabus for thorough preparation.
Category : MASTER‘S DEGREE PROGRAMMES
Sub Category : Master of Science (Applied Statistics) (MSCAST)
Products Code : MSCAST-MST-S2-5.51
HSN Code : 490110
Language : English
Author : BMAP EDUSERVICES PVT LTD
Publisher : BMAP EDUSERVICES PVT LTD
University : IGNOU (Indira Gandhi National Open University)
Pages : 300
Weight : 199 GM
Dimensions : 21.0 x 29.7 cm (A4 Size Pages)



Details

The study guide for MST 016 is meticulously designed to provide an extensive understanding of statistical inference, crucial for students pursuing the Master of Science (Applied Statistics) (MSCAST). The guide covers:

  • Estimation Theory: Detailed examination of estimation methods, including point estimation, interval estimation, and properties of estimators, with practical examples.
  • Hypothesis Testing: Comprehensive analysis of hypothesis testing techniques, including tests for means, variances, proportions, and non-parametric tests, with real-world applications.
  • Practical Applications: Numerous practical examples and case studies that illustrate the application of theoretical concepts in real-world scenarios, enhancing practical understanding.
  • Syllabus Coverage: The guide aligns with the complete IGNOU syllabus, ensuring students are well-prepared for their exams with all necessary topics included.

Benefits:

  • Enhanced Understanding: Detailed explanations of both estimation theory and hypothesis testing ensure a thorough grasp of the concepts.
  • Exam Preparation: Comprehensive syllabus coverage helps students prepare effectively for exams.
  • Practical Skills: Real-world examples and case studies enhance practical understanding and application of statistical inference techniques.
  • Convenience: With around 300-350 pages, the guide is extensive yet manageable, making it an ideal resource for study and revision.

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