88016 - Statistics (A-L)

Learning outcomes

The aim is to lead the student in learning the basic statistical notion. The first theoretical part introducing the basic statistics, is followed to an application part with practical exercises.

Course contents

Descriptive statistics

The statistics surveys and their phases. The scales measurement of the phenomena. Frequency distributions. Graphical representation. Mean, median, mode. The variability. Concentration and its measure. The statistical ratios. Simple and composed indices. Descriptive Statistics: Bivariate data. The covariance. Correlation and regression.

Statistical inference

Introduction to the probabilities. Random variables. Probability distributions. The sample design. Propriety of estimators. Confidence intervals. Testing Hypotheses. The linear regression model.

Teaching methods

The methods are based on theoretical and practical parts in order to learn the basic statistical notion for data analysis. A tutor helps students in practical exercises.

Assessment methods

For attending students, there are 3 tests during the Statistics course with final oral examination, otherwise, is possible to do only one full test in the ordinary examination session.

To pass the exam the student score has to be greater than or equal to 18 in the full examination and in partial tests (for attending students) the average score has to be not less then 18.

If the student does not pass the examination in the following course session, he/she can give back it only in September session.

Teaching tools

Slides of lessons and self-evaluation test available at https://iol.unibo.it/

Links to further information

https://iol.unibo.it/

Office hours

See the website of Linda Altieri

See the website of Alessandro Lubisco