Universidad de Jaén

Chapter 1.- Introduction to Statistical Inference

• Simple random sampling
• Sampling statistics
• Distributions of sampling statistics

Chapter 2.- Parameter estimation

• Point estimates
• Properties of point estimators
• Methods of point estimation
• Confidence interval estimates
• Confidence intervals for means and variances

Chapter 3.- Hypothesis testing

• Introduction
• Hypothesis tests concerning the mean and the variance of normal populations
• Hypthesis tests in Bernouilli populations
• Analysis of variance

Chapter 4.- Nonparametric hypothesis tests

• Goodness of fit tests
• Tests of independence
• Other tests

Chapter 5.-Regression

• Introduction
• Correlation
• Estimators of the regression parameters. Properties
• Statitical inferences about the regression parameters
• Prediction

Teaching sessions are structure in theoretical and practical sessions:

In the theoretical sessions, the masterclass will be used to introduce the essential concepts with the support of different materials edited for that purpose (notes, sides and practical examples obtained from the manuals indicated in the bibliography) that will be accessible through the ILIAS teaching-learning platform.

The practical sessions are divided in:

• Sessions where proposed exercises related to the theoretical contents that will be solved on the board by students and exposed in class to the rest of the students for further study.
• Computer lab sessions: the students will be trained to use adequate statistical software.

Students with special educational needs should contact the Student Attention Service (Servicio de Atención y Ayudas al Estudiante) in order to receive the appropriate academic support.

Students with special educational needs should contact the Student Attention Service (Servicio de Atención y Ayudas al Estudiante) in order to receive the appropriate academic support

The student's final mark is the weighted average of the marks obtained in the following items:

• A written exam to solve practical exercises related to the contents of the course. It could include short questions or select-options questions to assess the comprehension level on basic concepts (weight: 80%).
• In-class tests to assess the acquired ability with the statistical software and the capability of the student to select the appropriated method and provide accurate conclusions (weight: 20%). The qualification obtained in this part in the ordinary call I, will be saved for extraordinary calls.