Economics and Finance

Detailed course programme 1. Unit and collective; characters and modes 2. Statistical collection and types of statistical data 4. Simple distribution analysis: frequencies. 5. Ratios and index numbers 6. Graphical representations 7. Mean values 8. Variability, concentration and asymmetry 9. From histogram to density 10. Dependency, association and related measures 11. Regression and concordance 12. Combinatorics 13. Introduction to Probability 14. Conditional probability and Bayes' theorem 15. Random variables 16. Sample distributions and the central limit theorem 17. Probability Distributions 18. The statistical model 19. Point and interval estimates

It is strongly suggested to have already passed the Matematica Generale exam

● A. Forcina e B. Liseo (2021) Appunti per il corso di Statistica (available at libro-stat-ott-23.pdf ) ● Other text: Cicchitelli, D'Urso, Minozzo. Statistica: principi e metodi. 3a edizione, Pearson editore. ● Handout from the Instructor

All classes are in presence

The exam evaluation will be carried out by means of a written test relating to the subjects being studied. It is recommended to watch the video lessons and participate in the interactive activities (e-activity) proposed in the course. Participation in the interactive activities will be assessed in a review session. The exam may be taken without any prior notice.

1)Introduction. Frequency distributions e their graphical representation: Cumulative distribution, distribution function and their graphical representation 2)Position and variability indexes. Arithmetic mean. Properties of the arithmetic mean. Median and quantiles. Geometric mean, armonic mean. Variance and other variability indexes. Concentration 3)Bivariate analysis. Dependence and independence for categorical variables. Regresion and correlation. 4) Probability 5) Inference

Basic knowledge of mathemetics. Limits functions and derivatives. Set theory

Cicchitelli, D'Urso, Minozzo. Statistica: principi e metodi. 3a edizione. Pearson editore.

Attendance is not compulsory but is strongly recommended.

The exam will comprise two parts (written and oral). During the written exam the students must solve both data analysis and statistical inference exercises. The written test will be divided into two part. Multiple choice questions will be given in the first part. Exercises ranging from a minimum of 6 points to a maximum of 8 will be given in the second part. The oral examination will deal with the theoretical topics explained throughout the course.

The lessons will be held alternating the use of slides and the blackboard. The proofs of the theorems and the solutions of the exercises will be carried out directly on the blackboard

1)Introduction. Frequency distributions e their graphical representation: Cumulative distribution, distribution function and their graphical representation 2)Position and variability indexes. Arithmetic mean. Properties of the arithmetic mean. Median and quantiles. Geometric mean, armonic mean. Variance and other variability indexes. Concentration 3)Bivariate analysis. Dependence and independence for categorical variables. Regresion and correlation. 4) Probability 5) Inference

Basic knowledge of mathemetics. Limits functions and derivatives. Set theory

Cicchitelli, D'Urso, Minozzo. Statistica: principi e metodi. 3a edizione. Pearson editore.

Attendance is not compulsory but is strongly recommended.

The exam will comprise two parts (written and oral). During the written exam the students must solve both data analysis and statistical inference exercises. The written test will be divided into two part. Multiple choice questions will be given in the first part. Exercises ranging from a minimum of 6 points to a maximum of 8 will be given in the second part. The oral examination will deal with the theoretical topics explained throughout the course.

The lessons will be held alternating the use of slides and the blackboard. The proofs of the theorems and the solutions of the exercises will be carried out directly on the blackboard

Detailed course programme 1. Unit and collective; characters and modes 2. Statistical collection and types of statistical data 4. Simple distribution analysis: frequencies. 5. Ratios and index numbers 6. Graphical representations 7. Mean values 8. Variability, concentration and asymmetry 9. From histogram to density 10. Dependency, association and related measures 11. Regression and concordance 12. Combinatorics 13. Introduction to Probability 14. Conditional probability and Bayes' theorem 15. Random variables 16. Sample distributions and the central limit theorem 17. Probability Distributions 18. The statistical model 19. Point and interval estimates

It is strongly suggested to have already passed the Matematica Generale exam

● A. Forcina e B. Liseo (2021) Appunti per il corso di Statistica (available at libro-stat-ott-23.pdf ) ● Other text: Cicchitelli, D'Urso, Minozzo. Statistica: principi e metodi. 3a edizione, Pearson editore. ● Handout from the Instructor

All classes are in presence

The exam evaluation will be carried out by means of a written test relating to the subjects being studied. It is recommended to watch the video lessons and participate in the interactive activities (e-activity) proposed in the course. Participation in the interactive activities will be assessed in a review session. The exam may be taken without any prior notice.