Estimation of Theoretical Frequencies

Related lectures (32)

Page 2 of 4

Covers fundamental concepts of probability and statistics, focusing on data analysis, graphical representation, and practical applications.

Explores linear regression analysis of ozone data using statistical models.

Covers statistical hypothesis testing, confidence intervals, p-values, and significance levels in hypothesis testing.

Explains hypothesis testing using T-test and Chi-square test to compare means and assess independence of variables.

Covers the normal distribution, including its properties and calculations.

Covers descriptive statistics, hypothesis testing, and correlation analysis with various probability distributions and robust statistics.

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

Explores hypothesis testing, emphasizing the state of nature and the importance of choosing the most powerful test.

Explores the linear regression model, OLS properties, hypothesis testing, interpretation, transformations, and practical considerations.

Explores type I and type II errors, critical values, and confidence intervals in statistical significance.