Statistics

A.Y. 2015/2016
Lesson for
9
Max ECTS
80
Overall hours
Language
Italian
Learning objectives
The objectives of the course are on the one hand knowledge and understanding of the basic techniques of univariate and bivariate statistical analysis and secondly the ability to actually implement the knowledge learned in the particular context of the political and social sciences.

Course structure and Syllabus

Active edition
Yes
Responsible
Practicals: 40 hours
Lessons: 40 hours
Professors: Furfaro Emanuela, Salini Silvia
Syllabus
Chapter 1, Agresti and Finlay, Statistical Methods for the Social Sciences
Introduction to statistical methodology
Descriptive statistics and inferential statistics
The role of computers in statistics

Chapter 2, Agresti and Finlay, Statistical Methods for the Social Science
Sampling and Measurement
Variables and their measurement
Randomization
Sampling variability and potential bias
other probability sampling methods *

Chapter 3 Agresti and Finlay, Statistical Methods for the Social Sciences
Descriptive statistics
Describing data with tables and graphs
Describing the center of the data
Describing variability of the data
Measure of position
Bivariate descriptive statistics
Sample statistics and population parameters

Chapter 4 Agresti and Finlay, Statistical Methods for the Social Sciences
Probability Distributions
Introduction to probability
Probablitity distributions for discrete and continuous variables
The normal probability distribution
Sampling distributions describe how statistics vary
Sampling distributions of sample means
Review: Probability, sample data, and sampling distributions

Chapter 5 Agresti and Finlay, Statistical Methods for the Social Science
Statistical inference: estimation
Point and interval estimation
Confidence interval for a proportion
Confidence interval for a mean
Choice of sample size

Chapter 6 Agresti and Finlay, Statistical Methods for the Social Sciences
Statistical Inference: Significance Tests
Steps of a significance test
Significance test for a eman
Significance test for a proportion
Decisions and types of errors in tests
Limitations of significance tests

Chapter 7 Agresti and Finlay, Statistical Methods for the Social Science
Comparison of Two Groups
Preliminaries for comparing groups
Categorical data: comparing two proportions
Quantitative data: comparing two means
Comparing means with dependent samples

Chapter 8 Agresti and Finlay, Statistical Methods for the Social Science
Analyzing Association between Categorical Variables
Contingency Tables
Chi-squared test of independence
Residuals: Detecting the pattern of association
Measuring association in contingency tables

Chapter 9 Agresti and Finlay, Statistical Methods for the Social Science
Linear Regression and Correlation
Linear relationships
Least squares prediction equation
The linear regression model
Measuring linear association - the correlation
Inference for the slope and correlation
Model assumptions and violations
Lesson period
First trimester
Lesson period
First trimester
Assessment methods
Esame
Assessment result
voto verbalizzato in trentesimi
Professor(s)