151-0550/03 – Statistics and SPSS (SaSPSS)
| Gurantor department | Department of Mathematical Methods in Economics | Credits | 4 |
| Subject guarantor | prof. RNDr. Dana Šalounová, Ph.D. | Subject version guarantor | prof. RNDr. Dana Šalounová, Ph.D. |
| Study level | undergraduate or graduate | | |
| | Study language | English |
| Year of introduction | 2013/2014 | Year of cancellation | 2022/2023 |
| Intended for the faculties | EKF | Intended for study types | Bachelor |
Subject aims expressed by acquired skills and competences
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.
Teaching methods
Lectures
Tutorials
Summary
Předmět navazuje na předmět Statistika A a ve velké míře využívá anglickou verzi softwaru IBM SPSS. Po úspěšném absolvování předmětu budou studenti schopni vytvářet a upravovat datové soubory v SPSS, provádět jejich statistickou analýzu a prezentovat její výsledky.
Compulsory literature:
NORUŠIS, Marija. IBM SPSS Statistics 19 Guide to Data Analysis. Pearson 2012, ISBN-10: 0321748417, ISBN-13: 9780321748416
Recommended literature:
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
Way of continuous check of knowledge in the course of semester
Pouze pro Erasmus studenty.
E-learning
Other requirements
Excercises, project, exam.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
. 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.
Conditions for subject completion
Conditions for completion are defined only for particular subject version and form of study
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
Předmět neobsahuje žádné hodnocení.