2023/2024
BA-BMAKO1041U Statistics
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|
| Language |
English |
| Course ECTS |
7.5 ECTS |
| Type |
Mandatory (also offered as elective) |
| Level |
Bachelor |
| Duration |
One Semester |
| Start time of the course |
Autumn |
| Timetable |
Course schedule will be posted at
calendar.cbs.dk |
| Study board |
Study Board for BSc in Business Administration and Market
Dynamics and Cultural Analysis
|
| Course
coordinator |
- Jan Michael Bauer - Department of Management, Society and
Communication (MSC)
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| Main academic
disciplines |
- Statistics and quantitative methods
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| Teaching
methods |
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Last updated on
15-05-2023
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| Learning objectives |
To achieve the grade 12, students should meet the
following learning objectives with no or only minor mistakes or
errors:
- display an understanding of statistical terminology, processes
and theories
- understand simple mathematical notation to read and express
statistical problems
- inspect, manipulate and analyze data using statistical
software
- independently conduct and justify statistical analyses for
given data
- critically reflect on statistical analyses and communicate
their results in clear language
|
| Examination |
|
Statistics:
|
| Exam
ECTS |
7,5 |
| Examination form |
Written sit-in exam on CBS'
computers |
| Individual or group exam |
Individual exam |
| Assignment type |
Written assignment |
| Duration |
4 hours |
| Grading scale |
7-point grading scale |
| Examiner(s) |
One internal examiner |
| Exam period |
Winter |
| Aids |
Open book: all written and electronic aids,
including internet access
|
| Make-up exam/re-exam |
Same examination form as the ordinary exam
The number of registered candidates for the make-up
examination/re-take examination may warrant that it most
appropriately be held as an oral examination. The programme office
will inform the students if the make-up examination/re-take
examination instead is held as an oral examination including a
second examiner or external examiner.
|
Description of the exam
procedure
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| Course content, structure and pedagogical
approach |
|
This course provides an amicable introduction to the core
concepts of statistics. Focusing on understanding and application
this course is accessible to students without a strong mathematical
background. Starting from the basics of understanding and
describing quantitative information and probabilities the course
will cover the essential aspects of statistics, such as sampling
theory, statistical inference and null-hypothesis testing. Students
will learn to use analytical software and acquire the ability
to answer quantitative research questions using the appropriate
techniques. Methods of analysis are oriented towards consumer
research and include the study of group differences, relationships,
and multivariate analyses. Strengthening skills to read, evaluate,
and communicate the results of statistical analyses will enhance
students' ability to use quantitative data in a meaningful way.
Students will become familiar with the use of basic mathematical
notations and learn to solve simple problem sets linked to
statistical questions.
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| Description of the teaching methods |
| The course will combine on campus and online
lectures with supervised campus and online exercises. Blended
learning elements will be used to foster student engagement and
provide learning feedback. With its focus on application and basic
understanding, methods will be taught hands-on using software in
class and exercises. Students will receive an introduction into the
use of these tools in a dedicated workshop. Participants are
expected to actively engage with the problem-solving exercises
within class and at home, as well as pre-class preparation by
reading the respective texts and following the online materials.
Continuous assessment will support student learning and provide
guidance regarding their progress towards mastering the learning
objectives. |
| Feedback during the teaching period |
| Student receive feedback through exercises and
dedicated blended learning elements. |
| Student workload |
| Lectures + Exercise (online/campus) |
42 hours |
| Supervised sessions + workshops (campus) |
19 hours |
| Preparation |
141 hours |
| Exam |
4 hours |
|
| Expected literature |
|
Statistics: The Art and Science of Learning from Data, Global
Edition
by Alan Agresti & Christine A.
Franklin & Bernhard Klingenberg
4th Edition, Pearson Education Limited
2018, ISBN: 9781292164779
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Last updated on
15-05-2023
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