STATISTICAL METHODS FOR ECONOMICS AND FINANCE

Single discipline educational activity

Course Sheet

Course code:

000248L

Academic Year of enrolment:

2022

Year of supply:

2023/2024

Type of Course:

Basic

Degree:

Course of 1st Cycle Degree in ECONOMICS AND COMMERCE

Disciplinary Sector:

Statistics

Location:

PESCARA

Credits:

Programme Year:

Professor and Collaborators:

VALENTINI PASQUALE

Cycle:

First semester

Hours of classroom activity:

Individual study hours:

153

Prerequisites:

For the acquisition of the knowledge of the basic statistics it is absolutely necessary to have acquired the main knowledge of mathematics in advance

Objectives

The course aims to provide the basic notions of statistical reasoning, commonly used in business and management.

1.Knowledge and understanding
Knowledge of basic statistical concepts and related specialized terminology
2.Applying knowledge and understanding
Ability to apply statistical reasoning principles in processing and interpreting company reports
3.Making judgements
Learn the logical and statistical concepts that are indispensable for working autonomously in searching, selecting and elaborating corporate data and using official statistics sources.
4.Communication skills
Learn basic statistical terminology and techniques to properly communicate or discuss the results of company data analysis and business reports.

Contents

The course is divided into the following points:
• Collection, organization and description of data through frequency distributions, graphic representations and synthetic indices of position and variability.
• Study of the relationship between two characters through double entry tables, dispersion diagrams, dependence indicators (such as covariance, the linear correlation coefficient) and linear interpolation.
• Statistical inference, statistical population, sampling, sample variability and main statistics.
• Theory of point and interval estimation.
• Tests hypotheses with particular attention to population mean or relative frequency

Extended Syllabus

Statistical data
Sources

Direct and indirect survey. Survey phases. Polls
Source of data of interest for management
Organising the information and graphical representations

Absolute and relative frequency distributions
Graphical representations of frequency distributions
Categorical variables and numerical variables
Cumulative distribution and its graphical representation
Statistical ratios and index numbers.
Position and variability indices
Position indices for categorical variables
Mode
Median and quantiles
Position indices for numerical variables
Range
Interquantile difference
Variance and standard deviation
Coefficient of variation
Standardised numerical variables and linear transformations. Uses of management interest
Other shape indices
Comparison of different variables of interest for management, using position and variability indices. Box-plot
Bivariate distributions
Relations between two variables
Data organisation
Contingency tables, joint distribution, marginal distirbutions, conditional distributions
Association and correlation between variables
Association for categorical variables
Chi-square related association coefficient
Introduction to ontingency analysis
Uses of management interest
Correlation for numerical variables
Graphical representations
Covariance
Correlation
Uses of management interest
Introduction to probability
Historical remarks
Random experiments, events and probability
Set operations. Probability of intersection and union of events
Conditional probability
Independence between events
Bayes' Theorem
Total probability theorem
Uses of management interest
Random variables
Discrete random variables and related indices
Continuous random variables and related indices
Cumulative distribution functions
Joint distributions between discrete random variables
Bernoulli, binomial and geometric distributions. Uses of management interest
Uniform, exponential and normal distributions. Uses of management interest
Introduction to statistical inference
Basic ideas in statistical inference
Sampling and sampling distributions
Point estimate of population mean and proportion
Interval estimate of population mean and proportion

Recommended Bibliography

course notes
- Statistica, Principi e Metodi, G. Cicchitelli, Pearson Education, Seconda Eds
- Statistica, Piccolo D., il Mulino, terza Eds, 2010
- Statistica, David M. Levine, Timothy C. Krehbiel, Mark L. Berenson, Apogeo

Teaching Methods

Lessons are held in Italian with theoretical explications of the program topics accompanied by practical examples of business interest (also in the form of group exercises or testimonials of experts). For some contents is provided teaching of computer-based calculation (using a spreadsheet and briefly introducing R language

Evaluation methods

Verification of learning:

The exam is written and verifies the learning of theories and problem-solving abilities on topics under program. The test is divided into two parts/exercises (one oriented to the theoretical conceptualization while the other to statistical data processing (exercises with commentary on the results). Note: The student has the right to support three trials from the semester in which the teaching is delivered (in this case from May to February included). Non programmable calculators are allowed.

Contacts/More Information

He receives the students

Thursday 16.00-18.00

Università degli Studi
"G. d'Annunzio"

Chieti - Pescara

Aree

Error message