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ECTS Course Overview



Statistics and SPSS

* Exchange students do not have to consider this information when selecting suitable courses for an exchange stay.

Course Unit Code151-0550/03
Number of ECTS Credits Allocated4 ECTS credits
Type of Course Unit *Choice-compulsory
Level of Course Unit *First Cycle
Year of Study *
Semester when the Course Unit is deliveredWinter Semester
Mode of DeliveryFace-to-face
Language of InstructionEnglish
Prerequisites and Co-Requisites Course succeeds to compulsory courses of previous semester
Name of Lecturer(s)Personal IDName
S1A20prof. RNDr. Dana Šalounová, Ph.D.
Summary
Learning Outcomes of the Course Unit
The aim of the subject is to acquaint students with tools of statistical software SPSS for analysis both numeric and non-numeric data. The choise of methods is oriented to data processing from marketing and sociological research.
Course Contents
. Data Measurement. Descriptive Statistics, Tabular and Graphical Approaches.
2. Principle of Inference. Sampling and Sampling Distributions.
3. Estimation. Properties of Point Estimators. Interval Estimation.
4. Confidence Interval for the Mean. Confidence Interval for a Proportion. Confidence Interval and Sample Size.
5. Hypothesis Testing: Inference on a Single Population, Parametric and Nonparametric Methods.
6. Hypothesis Testing: Inference for Two Populations Using Independent Samples, Parametric and Nonparametric Methods.
7. Hypothesis Testing: Inference for Two Paired Samples, Parametric and Nonparametric Methods.
8. Analysis of Variance. Multiple Comparison Procedures. The Kruskal-Wallis Test, the Friedman Test.
9. Regression and Correlation Methods. Fitting Regression Lines – the Method of Least Squares. Inference About Parameters from Regression Lines.
10. Residual Analysis. The Correlation Coefficient. Statistical Inference for Correlation Coefficients.
11. Multiple Regression. The Multiple Regression Model and Its Assumptions.
12. Analysis of Categorial Data. The Goodness-of-Fit Test. Contingency Tables. Fisher’s Exact Test.
Recommended or Required Reading
Required Reading:
NORUŠIS, Marija. IBM SPSS Statistics 19 Guide to Data Analysis. Pearson 2012, ISBN-10: 0321748417, ISBN-13: 9780321748416
NORUŠIS, Marija. IBM SPSS Statistics 19 Guide to Data Analysis. Pearson 2012, ISBN-10: 0321748417, ISBN-13: 9780321748416
Recommended Reading:
NORUŠIS, Marija. IBM SPSS Statistics 19 Statistical Procedures Companion. Pearson 2012, ISBN-10: 0321748425,
ISBN-13: 9780321748423
NORUŠIS, Marija. IBM SPSS Statistics 19 Advanced Statistical Procedures Companion. Pearson 2012, ISBN-10: 0321748433, ISBN-13: 9780321748430
NORUŠIS, Marija. IBM SPSS Statistics 19 Statistical Procedures Companion. Pearson 2012, ISBN-10: 0321748425,
ISBN-13: 9780321748423
NORUŠIS, Marija. IBM SPSS Statistics 19 Advanced Statistical Procedures Companion. Pearson 2012, ISBN-10: 0321748433, ISBN-13: 9780321748430
Planned learning activities and teaching methods
Lectures, Tutorials
Assesment methods and criteria
Tasks are not Defined