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Focusing on advanced mathematical methods in science, this guide delves into classical probability and various probability distributions, including both discrete and continuous types. It explains key concepts such as expectation value, variance, and covariance, along with essential theorems like Chebyshev's. The book also covers hypothesis testing, ANOVA, regression analysis, and confidence intervals, providing detailed deductions of formulas to clarify inferential statistics. It aims to equip students with a solid foundation and foster interest in the subject.
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Inferential Statistics with Excel, Giovanni Alcocer
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- Année de publication
- 2016
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