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Related lectures (20)
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Statistical Inference: Confidence Intervals
Covers the construction of approximate confidence intervals using the central limit theorem for large sample sizes.
Two-Sample T-Test
Explains the two-sample t-test for comparing means of independent samples, including hypothesis testing steps and test statistic calculation.
Image Processing: Particle Analysis
Demonstrates practical image processing for particle analysis using Fiji.
Statistical Tests: Independence and Homogeneity
Explores statistical tests for independence and homogeneity, including chi-square tests and Fisher's exact test, with practical examples and applications.
Likelihood Ratio Test: Hypothesis Testing
Covers the Likelihood Ratio Test and hypothesis testing methods using Maximum Likelihood Estimators.
Multilinear Regression: Least Square Fit
Explores multilinear regression, variance, correlation, optimization, ANOVA, and design procedures.
Advanced Physics I: Brayton Cycle and Air Density
Explores the Brayton cycle, air density variations, and forces in motion.
Student Evaluation of Teaching: Importance and Strategies
Explores the importance of student feedback on teaching and strategies for effective evaluations.
Powder Characterisation: Physical, Chemical, Morphology
Explores the physical, chemical, and morphological analysis of powders, emphasizing sampling accuracy and quality control.
Stratified Sampling: Theory and Applications
Explores stratified sampling, dividing a population into subgroups for more accurate sampling.
