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

Course Unit Code | 151-0550/03 | |||||
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Number of ECTS Credits Allocated | 4 ECTS credits | |||||

Type of Course Unit * | Choice-compulsory | |||||

Level of Course Unit * | First Cycle | |||||

Year of Study * | ||||||

Semester when the Course Unit is delivered | Winter Semester | |||||

Mode of Delivery | Face-to-face | |||||

Language of Instruction | English | |||||

Prerequisites and Co-Requisites | Course succeeds to compulsory courses of previous semester | |||||

Name of Lecturer(s) | Personal ID | Name | ||||

S1A20 | prof. 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 |