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MST 016 Statistical Inference | Guess Papers of IGNOU

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MST 016 Statistical Inference | Guess Papers of IGNOU

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Master statistical inference with MST 016, covering essential theories and methodologies crucial for applied statisticians.
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Rs.50Rs.139   64% OFF


  • Comprehensive Coverage: Detailed exploration of key concepts in statistical inference.
  • Practical Applications: Real-world examples and case studies for practical understanding.
  • Exam Preparation: Focus on important topics likely to appear in exams.
  • Study Aid: Includes Guess Papers covering crucial exam questions.
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, English
Author : BMAP EDUSERVICES PVT LTD
Publisher : BMAP EDUSERVICES PVT LTD
University : IGNOU (Indira Gandhi National Open University)
Pages : 50
Weight : 157gms
Dimensions : 21.0 x 29.7 cm (A4 Size Pages)



Details

MST 016 Statistical Inference is designed for students pursuing a Master of Science in Applied Statistics (MSCAST). This course delves deep into the theories and methodologies of statistical inference, equipping students with essential knowledge for applied statistical analysis. The curriculum covers a wide array of topics, from probability distributions to hypothesis testing and confidence intervals.

Benefit from:

  • Comprehensive Coverage: Gain a thorough understanding of statistical inference principles.
  • Real-World Applications: Learn through practical examples and case studies.
  • Exam Preparation: Focus your study efforts on important concepts likely to feature prominently in examinations.
  • Guess Papers: Includes a curated selection of Guess Papers featuring key questions that are often tested in exams, helping you prepare effectively within a condensed format.

DISCLAIMER

The IGNOU solved assignments and guess papers provided on this platform are for reference purposes only and should not be used to engage in educational dishonesty. These materials serve as learning and study tools and are not intended for submission as original work. Users are responsible for using these materials ethically and in accordance with their educational institution's guidelines. We do not assume liability for any misuse or consequences resulting from the use of these materials. By accessing and utilizing these resources, users agree to this disclaimer.

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