Probability distributions. Parameter estimation and hypothesis testing. ANOVA analysis. Problems on the contents of Lesson 1. Study of the contents of lesson 1 with the appropriate statistical software.

Specific Objectives

Review the basic concepts required by statistical methods. Practice with the concepts of Lesson 1. Practice with statistical software (excel, minitab or R).

Dedication

Simple and multiple linear regression. Applications. Problems on the contents of Lesson 2. Practice on the regression model with the appropriate statistical software.

Specific Objectives

Learn how to obtain and use linear regression models and apply them to practical problems. Practice with statistical software (excel, minitab or R) on the contents of Lesson 2. Practice with statistical software (excel, minitab or R).

Dedication

Logistic and polynomial regression. Analysis of multiple regression models. Problems on the contents of Topic 3. Practice on the logistic and polynomial regression model with the appropriate statistical software.

Specific Objectives

Analyze non-linear multiple regression models. Practice with statistical software (excel, minitab or R) on the contents of Lesson 3. Practice with statistical software (excel, minitab or R) the contents of Lesson 3.

Dedication

Introduction to Bayesian statistics. Statistics of extremes and time series. Problems on the contents of Lesson 4. Practice the contents of Lesson 4 with the appropriate statistical software.

Specific Objectives

Learn the concepts of Bayesian statistics, statistics of extremes and time series. Practice with statistical software (excel, minitab or R) on the contents of Lesson 4. Practice with statistical software (excel, minitab or R) the contents of Lesson 4.

Dedication

During the course two evaluation tests will be carried out

Dedication