Statistics & Experimental Design

Related lectures (29)

Page 3 of 3

Explores confidence intervals, T-test, and hypothesis testing, including assumptions and critical regions.

Covers the basics of linear regression, including OLS estimators, hypothesis testing, and confidence intervals.

Explores t-tests, z-tests, and empirical tests for sample comparison and hypothesis testing.

Explores sampling, inferential statistics, and effective experimentation in statistics.

Explores unilateral and bilateral pairs in statistical hypothesis testing, covering critical values, test statistics, and p-values.

Covers the calculation of paired t-tests, advantages/disadvantages of different t-tests, and the concept of ANOVA.

Explores hypothesis testing in statistics, focusing on decision-making based on sample data and controlling error probabilities.

Covers the solutions to the midterm exam of a Probability Theory course, including calculations of probabilities and expectations.

Covers the basics of t tests, including hypothesis testing, significance levels, P-values, Z-tests, and the t distribution.