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Lecture
Statistical Analysis: Data Exploration and Inference
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Related lectures (29)
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Propagation of Uncertainty: Estimation and Distribution
Discusses estimation and propagation of uncertainty in random variables and the importance of managing uncertainty in statistical analysis.
Parameter Estimation
Introduces statistical inference concepts, focusing on parameter estimation, unbiased estimators, and mean estimation using independent random variables.
Air Pollution Analysis
Explores air pollution analysis using wind data, probability distributions, and trajectory models for air quality assessment.
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Probability and Statistics: Basics and Applications
Covers fundamental concepts of probability and statistics, focusing on data analysis, graphical representation, and practical applications.
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Provides an overview of basic probability theory, ANOVA, t-tests, central limit theorem, metrics, confidence intervals, and non-parametric tests.
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