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Testing: t-tests
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Confidence Intervals: Definition and Estimation
Explains confidence intervals, parameter estimation methods, and the central limit theorem in statistical inference.
Statistical Analysis: Boxplot and Normal Distribution
Introduces statistical analysis concepts like boxplot and normal distribution using real data examples.
Linear Regression: Estimation and Inference
Explores linear regression estimation, linearity assumptions, and statistical tests in the context of model comparison.
Central Limit Theorem: Properties and Applications
Explores the Central Limit Theorem, covariance, correlation, joint random variables, quantiles, and the law of large numbers.
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Covers the normal distribution, including its properties and calculations.
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Covers the construction of confidence intervals and approximate critical values in statistical inference.
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Explores linear regression estimation, hypothesis testing, and practical applications in statistics.
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Explores variance, covariance, and practical applications in statistics and probability.
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Covers properties and calculations related to the normal distribution, including probabilities and quantiles.