151-0339/01 – Applied Statistical Methods (ASM)
Gurantor department | Department of Mathematical Methods in Economics | Credits | 4 |
Subject guarantor | doc. Ing. Václav Friedrich, Ph.D. | Subject version guarantor | doc. Ing. Václav Friedrich, Ph.D. |
Study level | undergraduate or graduate | Requirement | Compulsory |
Year | 2 | Semester | summer |
| | Study language | Czech |
Year of introduction | 2019/2020 | Year of cancellation | |
Intended for the faculties | EKF | Intended for study types | Bachelor |
Subject aims expressed by acquired skills and competences
The main aim of the course is to familiarize the future economist with selected methods of obtaining and analyzing economic data and to demonstrate how these methods and procedures can be used in other subjects of study, in the preparation of a bachelor's or master's thesis and in practice.
Upon successful completion of this course, the students will acquire the following knowledge, skills and abilities:
- They will become acquainted with the possibilities of using statistical methods in solving specific problems in the field of marketing, management or sociological research.
- They will learn how to design, implement and evaluate questionnaire surveys for specific problems of practice, for example, consumer behaviour or satisfaction surveys.
- They gain skills in processing questionnaire data on a computer using the IBM SPSS Statistics program.
- They will be able to apply selected statistical methods to analyse questionnaire surveys and interpret the results for specific decision making.
- They will learn the basics of academic writing, including working with literature and creating bibliographic citations, which will also be used in the writing of term papers and theses.
Teaching methods
Lectures
Individual consultations
Tutorials
Project work
Summary
In this course, students will be trained to design and implement questionnaire surveys that can be used for example in market research, consumer and sociological research, satisfaction analyses, etc. Students will also learn about selected simple and more complex statistical methods. Students will work with real statistical data obtained by their own primary research. They will learn to use the online CAWI survey service (VYPLNTO.CZ) to collect data, and use appropriate statistical software (IBM SPSS Statistics) to analyse data. The course also includes an introduction to the basics of academic writing (IMRaD, typography, working with figures and tables, citations, standards).
Compulsory literature:
Recommended literature:
Way of continuous check of knowledge in the course of semester
The subject is finished with a classified credit. During the semester, students complete the following credit assignments:
- project proposal and research objectives
- designing a questionnaire
- implementation of the CAWI survey
- preparation and submission of the research project
- theoretical self-test (from lectures)
All credit assignments are scheduled.
E-learning
The subject is supported by an e-learning course in LMS Moodle.
Through LMS Moodle, students complete credit assignments, submit projects and sign up for individual consultations.
Other requirements
Knowledge of statistics at undergraduate level (e.g. Statistics for Economists).
Working with Microsoft Excel at a basic level.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
1. Information sources, using references and citations
2. From research objectives to hypotheses testing
3. Questionnaire survey and questionnaire design
4. Preparation of data for the questionnaire survey
5. Categorical data, frequency tables and graphs
6. Numerical data, measures of level, heterogeneity and normality
7. Item analysis in preference batteries
8. Hypothesis testing, one-sample and two-sample tests
9. Testing the percentages
10. Analysis of dependencies in tables
11. Analysis of variance, homogeneous groups
12. Advanced analysis of preference batteries
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction