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Explores optimal testing methods in statistics, focusing on the Neyman-Pearson framework and the construction of test functions for different types of hypotheses.
Explores linear regression fundamentals, non-linear regression issues, and R-squared goodness of fit, with examples like Anscombe's quartet and the Datasaurus dataset.
Discusses the principles of pn junctions and heterostructures in semiconductor physics, focusing on their electrical characteristics and practical applications.
Explores hypothesis testing through statistical disproof and probability calculation, emphasizing the significance level and error handling in statistical statements.
