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Mathematical Statistics For BS by Z.R. Bhatti - ILMI

  • Publisher: ILMI KITAB KAHANA
  • Availability: In Stock
  • SKU: 30243
  • Number of Pages: 487

Rs.540.00

Rs.595.00

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"Mathematical Statistics for BS" by Z.R. Bhatti, published by ILMI, is a crucial textbook designed for undergraduate students pursuing a Bachelor of Science (BS) in Mathematics, including those enrolled in a four-year program. This book is also suitable for M.Sc. Mathematics students. Aligned with the new syllabus approved by the Higher Education Commission (HEC) for all universities in Pakistan, it provides a comprehensive introduction to the principles and applications of mathematical statistics. It covers essential topics such as probability theory, statistical inference, hypothesis testing, regression analysis, and statistical distributions, ensuring that students develop a strong foundation in statistical methods.

 Key Points:

  1. Probability Theory: Detailed exploration of probability concepts, including conditional probability, Bayes' theorem, and various probability distributions.
  2. Statistical Inference: Comprehensive coverage of estimation techniques, including point estimation, interval estimation, and properties of estimators.
  3. Hypothesis Testing: Guidelines on formulating and testing hypotheses, with detailed procedures for different types of statistical tests.
  4. Regression Analysis: Introduction to simple and multiple regression models, with applications in data analysis and predictive modeling.
  5. Statistical Distributions: Examination of key statistical distributions such as binomial, Poisson, normal, and chi-square distributions, and their applications.

In conclusion, "Mathematical Statistics for BS" by Z.R. Bhatti is an invaluable resource for undergraduate mathematics students. The book's alignment with the HEC-approved syllabus ensures that it meets academic standards, providing students with the theoretical knowledge and practical skills necessary to excel in the field of mathematical statistics and apply these concepts effectively in various real-world scenarios.

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