Course Title : Statistics for Social Sciences
Code Course
Credits ECTS
SOC 202-1 A 4 3 0 0 3.00 5
Lecturer and Office Hours
Teaching Assistant and Office Hours
Language Albanian
Course Level
Description This module aims to give students the basic knowledge in statistics and to help them in a properly usage of the statistical concepts and techniques correlated with other courses and practice work they are undertaking. The course is focused in a combination of theoretical aspects with the practical ones, trying to improve students’ capacity in implementing efficient use of statistical analysis. This module addresses the basic concepts of statistics which serve as a support point for the recognition and use of other statistical concepts that are based on them.
Objectives The course aims to provide students: 1. the opportunity to understand the importance of statistics for social sciences 2. the ability to efficiently apply the statistical methods in different situations in the social sciences 3. the knowledge on how to gather, organize, process, analyze and interpret the data. 4. the capacity to identify appropriate statistical techniques for data analysis in the field of social sciences.
Course Outline
1Data, measurement and statistics
2Descriptive statistics, tabular and graphical methods
3Localization and variation indicators
4Introduction to probability
5Probability distributions of discrete random variables
6Probability distribution of continues variables
7Sampling, Sampling distribution and confidence interval
8Midterm Exam
9Hypotheses testing for the population mean and proportions
10Hypotheses testing for 2 population means and proportions
11Hypotheses testing for the population variance
12Good and fit test
13Analyze of Variance
14Simple linear regression and correlation
15Multiple linear regression
16Final Exam
Other References
Laboratory Work
Computer Usage
Learning Outcomes and Competences
1Students will gain good knowledge of the statistical concepts and techniques.
2Students will obtain capability to apply the statistical modeling in social sciences.
3Students will be capable to analyze and interpret the results of statistical output.
Course Evaluation Methods
In-term studies Quantity Percentage
Term Projects00
Contribution of in-term studies to overall grade70
Contribution of final examination to overall grade30
ECTS (Allocated Based on Student) Workload
Activities Quantity Duration
Total Workload
Course Duration (Including the exam week : 16 x Total course hours) 16348
Hours for off-the-classroom study (Pre-study, practice) 14456
Assignments 000
Midterms 199
Final examination 11212
Other 000
Total Work Load 125
Total Work Load / 25 (hours) 5

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