statistics for management - . course introduction... · statistics for management course...

Statistics for Management

Course Introduction18 September 2017

Annamaria Bianchi

A. Bianchi: Statistics for Management 1

Syllabus

Instructor: Annamaria Bianchi

Instructor email: [email protected]

Office Hours: during the course: Wednesday 16.30-17.30 office 202

Lectures: 6 hours a week:

Monday 14.30-16.30

Wednesday 14.30-16.30

Friday 10.30-12.30 (Lab)


Textbooks

Lectures

Title: Statistics for Business and Economics, Eight Edition

Authors: P. Newbold, W.L. Carlson, B. Thorne

Editor: Pearson

Laboratory

Title: Data Analysis Using Stata, Third Edition

Authors: U. Kohler and F. Kreuter

Editor: Stata Press


Other material

+ Lecture notes

+ E-learning course with lecture notes and other relevant course material


Class web-page

On the E-learning platform you can access lecture notes and other relevant course material as well as important announcements:

http://elearning8.unibg.it/moodle25/enrol/index.php?id=644

On the first access only, you need to insert the following keyword: ASK THE LECTURER


Class web-page

To access: user university record number (matricola)

Password your personal password


Objectives

The course provides the fundamental statistical techniques that allow students to become familiar with quantitative methods that are most commonly used for management problems.

The course has an application-oriented approach, with special focus on interpretation of results.

Students will learn how to apply techniques to real data.

We will use Stata to analyze data and implement models


Contents

We study relationship between variables. You will learn how to answerquestions like…

What is the relationship between advertising expenditures and sales? Isthere a causal effect? Can we take into consideration time dynamics?

Can we predict a firm default by balance sheet ratios?


Contents

• Comparing the means on two or more groups (two-sample tests and ANOVA)

• Understanding and measuring strength of the relations: simple, multiple and partial correlation

• Simple linear regression for modeling business variables

• Multiple regression for multivariate environments

• Introduction to panel data to model dynamics

• Logistic regression

• Introduction to data management and data analysis with Stata (graphical analyses, linear regression, logistic regression and principal component analysis)


Contents – types of data

• Experimental data

• Observational data (cross-section)

• Panel data


Statistical software

• Stata is a statistical package particularly widespread in economics andmanagerial research areas.

• Stata offers a good combination of power and ease.

• Stata contemplates the possibility of using a large number of modelsand statistical procedures, and also provides the possibility ofdeveloping modules that others may install. So often additionalprograms with new Stata commands are available for free

• Advantages: widely used package in the faculty of economics andmanagement, very simple syntax for standard analysis, relatively lowcost


Requirements

No compulsory prerequisite.

Recommended prerequisites: basic knowledge of Statistics (probability, statistical inference, hypothesis testing) and fluency in English

Throughout the course, the following topics are assumed to be known:

- Basic probability concepts

- Random variables (discrete and continuous)

- Basic inference concepts (estimator for the mean, confidence intervals)

- Hypotheses testing


Requirements

For those who need to recover/revise some topics, I suggest the following chapters from the textbook (Newbold et al.):

3, 4, 5, 6, 7, 8, 9

(During the first lectures I will recall some of these topics)


Evaluation

Test (in laboratory) consisting of theoretical questions, exercises to be solved by hand, and exercises to be solved using Stata.

OR

Two partial tests (in laboratory) during the course period, consisting of theoretical questions, exercises to be solved by hand, and exercises to be solved using Stata. Final mark is the average of the two test marks (if both are sufficient, i.e. mark greater or equal than 18).

Attendee students, who have regularly (and on time) submitted ALL the assignments, can get a maximum of 3 extra points on the grade of the final exam based on the quality of their work.


Evaluation

Those who are not enrolled at University can take lectures but cannotgive the exam until they are enrolled.

(If they submit regularly - and on time - ALL the assignments, can get a maximum of3 extra points on the grade of the final exam.)


Questions?


statistics for management - . course introduction... · statistics for management course...

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