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Perfect for students, researchers, and professionals, this book also explores experimental design, statistical software applications (including Python and SPSS), and non-parametric statistics. The clear layout and structured approach make it an invaluable reference for understanding statistical terminology and methodologies. Whether you’re grappling with correlation coefficients or Bayesian inference, this glossary provides precise definitions and explanations to enhance your statistical literacy.
Dive into the world of statistics with this comprehensive glossary that serves as your essential guide through complex statistical concepts. This meticulously crafted book by Soumyabrata Chakravorty covers fundamental topics from descriptive statistics to advanced Bayesian analysis. The content is systematically organised into key sections including measures of central tendency, probability concepts, hypothesis testing, sampling techniques, and regression analysis.
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