Data Analysis: Descriptive and Inferential Statistics
Course code
IFI7239.DT
old course code
Course title in Estonian
Andmeanalüüs: kirjeldav ja üldistav statistika
Course title in English
Data Analysis: Descriptive and Inferential Statistics
ECTS credits
6.0
Assessment form
Examination
lecturer of 2023/2024 Spring semester
Not opened for teaching. Click the study programme link below to see the nominal division schedule.
lecturer of 2024/2025 Autumn semester
Not opened for teaching. Click the study programme link below to see the nominal division schedule.
Course aims
To support the acquisition of theoretical knowledge and practical skills needed for data collection, processing and simple statistical analysis. To introduce the possibilities of using the statistical package in data processing and statistical analysis. To develop the formation of practical application experience of knowledge and skills, which allows making independent decisions for the selection of the appropriate analysis method(s) and for the correct interpretation of the results obtained during the analysis.
Brief description of the course
Statistical dataset, its collection and processing. Types of statistical features. Descriptive statistics i.e. data generalization and visual presentation methods: various tables, diagrams and figures. Correlation analysis (describing statistical relationships: correlation coefficients and cross tables). Selection of an appropriate analysis or presentation method. Analysis of multiple choice questions. Statistical inferences - parametric and nonparametric tests: confidence intervals, tests of statistical significance: t test, chi-square test, ANOVA, Kruskal-Wallis test.
The main part of the course consists of seminar-type lectures and practicums, where students are expected to actively think and work together.
The main part of the course consists of seminar-type lectures and practicums, where students are expected to actively think and work together.
Learning outcomes in the course
Upon completing the course the student:
- understands the difference between descriptive and inferential statistics;
- prepares a correctly structured dataset;
- based on data and goals, poses questions requiring statistical analysis;
- explains the nature of the described descriptive statistics methods, knows the conditions of their application and can correctly interpret the results of the analysis;
- distinguishes types of data/characteristics and chooses an analysis method suitable for the type of data and the content of the question asked about the data (within the limits of the methods discussed);
- uses appropriate software with the help of instructional material to perform simpler data processing and analysis.
- understands the difference between descriptive and inferential statistics;
- prepares a correctly structured dataset;
- based on data and goals, poses questions requiring statistical analysis;
- explains the nature of the described descriptive statistics methods, knows the conditions of their application and can correctly interpret the results of the analysis;
- distinguishes types of data/characteristics and chooses an analysis method suitable for the type of data and the content of the question asked about the data (within the limits of the methods discussed);
- uses appropriate software with the help of instructional material to perform simpler data processing and analysis.
Teacher
Farhat-ul-Ain
Study programmes containing that course