Statistics
A.Y. 2018/2019
Lesson for
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
ATTENDING STUDENTS
Syllabus
NONATTENDING STUDENTS
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 Chisquared 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
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 Chisquared 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
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Professor(s)