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Course 2017-2018 a.y.

20354 - STATISTICS AND DATA ANALYSIS - PREPARATORY COURSE


EMIT
Department of Decision Sciences

Course taught in English


EMIT ( - I/II sem. - P)
Course Director:
RAFFAELLA PICCARRETA

E-learning class-group
Instructors:
Class 1: RAFFAELLA PICCARRETA


Course Objectives

During the course, techniques for collecting and analyzing data are described. The main concepts of statistical thinking, both descriptive and inferential, are covered. In order to better understand inferential tools, basic concepts of probability theory are presented. For selected topics tests (online and downloadable) are available to have an immediate feedback on the comprehension on the taught topics.


Course Content Summary
The course focuses on three main parts.
  • Descriptive analysis of a data set.
    • Data collection, organizing data in tables, graphical presentation methods.
    • Measures of central and non central tendency, measures of variation.
    • Shape of a distribution. Outliers and extreme values.
    • Tabulating and graphing bivariate data.
    • Measures of association and of dependence (association and independence-contingency coefficient; mean dependency, linear relationships; covariance, correlation coefficient). Simple linear regression. Some basic concepts on multiple regression analysis are also illustrated.
  • Probability theory and Random variables.
    • Experiments, sample spaces and events. Definition of probability and rules of probability. Conditional probability and independent events.
    • Random variables: discrete and continuous.
  • Inferential statistics.
    • Sample and Sampling distribution. Descriptive versus Inferential Statistics.
    • Point and confidence interval Estimation.
    • Fundamentals of Hypothesis Testing. Hypothesis test for association (chi-square and correlation). Test for equality of the means (ANOVA). Tests on coefficients in regression model.

Textbooks
  • D.M. Levine, T.C. Krehbiel, M.L. Berenson, Business Statistics: A First Course, Prentice Hall, 2005, 4th edition.
Last change 22/05/2017 10:41