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Poljička cesta 35, Split, Croatia

Statistics II

Statistics II

Code: 228374
ECTS: 4.0
Lecturers in charge: prof. dr. sc. Goran Kardum
doc. dr. sc. Ivan Buljan
Lecturers: doc. dr. sc. Ivan Buljan - Exercises
Lana Pehar, mag. - Exercises
Take exam: Studomat

1. komponenta

Lecture typeTotal
Exercises 15
Lectures 30
* Load is given in academic hour (1 academic hour = 45 minutes)
Main objective of this course is to obtain basic knowledge about inferential statistical procedures, and the application of R programme.
Learning outcomes:
  1. Form contingency tables
  2. Interpret various chi square test models
  3. Form prerequisite models to apply quantitative analysis
  4. Form and explain various variance analysis models in dependent and independent samples and mixed models
  5. Interpret t-test in dependent and independent models
  6. Form and interpret simple regression models
  7. Form and explain the application of non-parametric tests
  1. Statistics for psychology, , Aron, A., Aron, E.N., Saddle River: Prentice Hall, Inc., 2013.
  2. Learning statistics with R: A tutorial for psychology students andother beginners (Version 0.6), , Navarro, D.J., , 2018.
  3. R for Data Science: Import, Tidy, Transform,Visualize, and Model Data, , Wickham, H., Grolemund, G., O'Reilly Media, 2017.
2. semester
Mandatory course - Regular studij - Psychology
Consultations schedule: