Related lectures (68)
Statistical Hypothesis Testing: Basics and Applications
Covers the basics of statistical hypothesis testing, p-values, confidence levels, and t-tests.
Paired Tests: Shoe Sole Experiment
Explores paired tests using a shoe sole experiment, showing significant differences between materials A and B.
Response Surface Design: Lack of Fit
Explores response surface design, emphasizing lack of fit analysis and quadratic models, with practical examples in Matlab.
Hypothesis Testing: T-Test Methodology
Explores hypothesis testing methodology using t-tests and the randomization test.
Principal Component Analysis: Understanding Data Structure
Explores Principal Component Analysis, dimensionality reduction, data quality assessment, and error rate control.
Two-Sample T-Test
Explains the two-sample t-test for comparing means of independent samples, including hypothesis testing steps and test statistic calculation.
Hypothesis Testing: Neyman-Pearson Framework
Covers hypothesis testing, types of errors, Neyman-Pearson framework, and one-sided Gaussian tests.
Model Building: Analysis of Means
Explores model building using analysis of means to predict removal rates and adhesion strength.
Difference Equations
Covers the concept of difference equations and properties of causal vs. stable systems.

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