Type of course: |
Compulsory |
Language of instruction: |
English |
Erasmus Language of instruction: |
English |
Name of lecturer: |
Ioan Lucian Popa |
Seminar tutor: |
Ioan Lucian Popa |
Form of education |
Full-time |
Form of instruction: |
Class / Seminary |
Number of teaching hours per semester: |
42 |
Number of teaching hours per week: |
3 |
Semester: |
Autumn |
Form of receiving a credit for a course: |
Grade |
Number of ECTS credits allocated |
6 |
Course aims:
- make the task of learning statistics as easy and painless as possible.
- explain how statistical methods can be classified using the same categories that are used to group data structures and research methods
- understanding of the basic concepts underlying a statistical formula
- introducing statistical technique that uses the mean and the standard deviation to transform each
score (X value) into a z-score, or a standard score
- combine the concepts of z-scores, probability, and the distribution of sample means to create
a new statistical procedure known as a hypothesis test
Course Entry Requirements:
N/A
Course contents:
1. Data structures, reasearch methods and statistical structures
2. Frequency distribution
3.Central tendancy
4. Variability
5. z-Scores: Location of scores and standardized distribution
6. Hypothesis testing
7. Using t statistics for inferences about population means and mean differences
Teaching methods:
Lecture, discussion, exemplification.
Learning outcomes:
After following these course students will be able to:
• define and operationalize the measurement object and choose the appropriate techniques
• know and apply the steps of selection and analysis of measurable indicators
• know and apply algorithms to construct statistical indicators
• know and apply the techniques and methods of statistical analysis, estimation and interpretation of data, evaluation criteria and procedures for measuring instruments;
• select and apply the most appropriate evaluation methods
• know and apply the techniques fot t test
Learning outcomes verification and assessment criteria:
Final evaluation – 50%; Seminar activities – 50%.
Recommended reading:
Frederick J Gravetter Larry B. Wallnau,
Statistics for the Behavioral Sciences, Wadsworth
, -
, 2013
, -
G. Keppel,
Design and analysis: A researcher’s handbook, Prentice-Hall
, -
, 1973
, -
David C. Howell,
Fundamental Statistics for the Behavioral Sciences, Wadsworth Publishing
, -
, 2010
, -