Hypothesis Testing: Statistics Overview

Related lectures (31)

Page 3 of 4

Provides an overview of hypothesis testing and confidence intervals in statistics, including practical examples and key concepts.

Covers likelihood ratio statistic, confidence intervals, and hypothesis testing concepts.

Explores confidence intervals, hypothesis testing, and ROC curves in statistical analysis.

Explores maximum likelihood estimation and multivariate hypothesis testing, including challenges and strategies for testing multiple hypotheses.

Explores linear regression estimation, linearity assumptions, and statistical tests in the context of model comparison.

Covers statistical hypothesis testing, likelihood estimation, and confidence intervals construction.

Covers the construction of confidence intervals and approximate critical values in statistical inference.

Delves into a different perspective on hypothesis testing, emphasizing the p-value and significance levels.

Covers fundamental concepts in probabilities and statistics, including linear regression, exploratory statistics, and the analysis of probabilities.

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