151-0329/04 – Statistical Methods in Marketing (SMM)
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 | Choice-compulsory |
Year | 2 | Semester | summer |
| | Study language | Czech |
Year of introduction | 2010/2011 | Year of cancellation | 2016/2017 |
Intended for the faculties | EKF | Intended for study types | Follow-up Master, Bachelor |
Subject aims expressed by acquired skills and competences
On successful completion of the course "Statistical Methods in Marketing" (151329, versions 05 and 06), the students acquire the following knowledge, skills and abilities:
• They become familiar with the applications of statistical methods in solving specific problems of marketing or social research.
• They learn how to design, implement and evaluate questionnaires for specific practical problems, especially for a survey of consumer behaviour and satisfaction.
• They acquire skills in processing questionnaire data files using statistical program SPSS.
• They are able to use selected statistical methods to analyse the surveys and interpret results for specific management decisions.
Teaching methods
Lectures
Individual consultations
Tutorials
Project work
Summary
The subject "Statistical Methods in Marketing" introduces the future economist - marketing specialist with selected both simple and advanced statistical methods for economic data collection, analysis and interpretation for the purposes of market research and decision-making at various levels of marketing management.
In this course the students will revise and deepen their knowledge of basic statistics course for economists (subject "Statistics A" or similar) and they will learn to use the selected quantitative statistical methods especially in market research, consumer and sociological surveys, analysis of satisfaction, etc.
The students will work with real statistical data obtained from their own primary investigation in this course. They will learn how to use the online service for CAWI questionnaire research (VYPLNTO.CZ) and how to utilize he professional statistical software (SPSS) to analyse the collected data.
The subject "Statistical Methods in Marketing" is primarily designed as the mandatory course for students of Bachelor's degree in Marketing and Business at the Faculty of Economics, VSB - Technical University of Ostrava. However, it can be also used as the selective course for students in other study disciplines.
The course is taught in the range of 1 + 2 hours weekly. It is completed by graded credit and it is rated by 4 credits.
Compulsory literature:
The course is taught in Czech only. That is why no mandatory literature is presented here.
Recommended literature:
The course is taught in Czech only. That is why no selective literature is presented here.
Way of continuous check of knowledge in the course of semester
Credits are awarded by instructor teacher. Problems with granting credits can be dealt with guarantor of the subject, or with the head of the department.
COMPLIANCE CRITERIA:
All continuous compensatory tasks are timed. Students tasks are handed over by Moodle CMS, where they are also evaluated. Deadlines for submission can be monitored using Calendar tool in Moodle.
a) Preliminary-test
The test checks students theoretical readiness for the subject. The test is randomly generated (10 questions) covering issues of Statistics A and is limited by time of 20 minutes. A maximum of 20 points can be obtained from the test, required minimum is 10 points. The test can be repeated and the highest number of points (best attempt) is counted for the final evaluation of the course.
b) Final (comprehensive) self-test
This test checks students theoretical knowledge of the subject. The test is randomly generated (10 questions) covering the whole issue of the subject and is limited by time of 20 minutes. A maximum of 20 points can be obtained from the test, required minimum is 10 points. The test can be repeated and the highest number of points (best attempt) is counted for the final evaluation of the course.
c) Team project
This task is to create a group of 3 - 4 students and to prepare and implement a marketing statistical surveys using server VYPLNTO.CZ and SPSS software within this group. The group draws up a research report that is saved to the CMS Moodle. The task is rated up to 45 points, the condition is to obtain at least 25 points. Project evaluation is the same for the whole group.
To obtain the credit the student must get at least 45 points from all compensatory tasks.
All other conditions shall be governed by the Study and Examination Regulations at VŠB-TU Ostrava.
E-learning
The eLearning course of this subject can be found at the CMS Moodle: http://moodle.vsb.cz/vyuka.
Other requirements
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Prerequisities
Co-requisities
Subject has no co-requisities.
Subject syllabus:
The subject "Statistical Methods in Marketing (151 329)" is designed for full-time students with an electronic support (so-called blended learning). Organized education is concentrated in lectures that take place every week, and exercises that take place once in 14 days.
Teaching is organized into 12 thematic units (chapters). Each chapter corresponds to one lecture. Exercises are usually given for two related lectures.
Lectures:
P1. Investigation in marketing research
P2. The questionnaire design and the ABC method
P3. Exploration of categorical data
P4. Exploration of numerical data
P5. Contingency tables and cross-classification
P6. Analysis of dependencies in the tables
P7. Correlation and regression analysis
P8. Logistic regression
P9. Comparative tests
P10. Analysis of variance ANOVA
P11. Nonparametric tests
P12. Presentation of research results
Exercise:
C1. Data preparation in SPSS environment
C2. Exploratory data analysis
C3. Analysis of dependencies in the table
C4. Correlation and regression analysis
C5. Logistic regression
C6. Hypotheses testing
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
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