
Statistical tools
Study Board of Political Science, Journalism, Sociology, and European Studies
Teaching language: English
EKA: B340029302
Censorship: Second examiner: None
Grading: 7-point grading scale
Offered in: Esbjerg
Offered in: Summer school (spring)
Level: Supplementation
Course ID: B340029301
ECTS value: 5
Date of Approval: 26-09-2023
Duration: Intensive course
Course ID
Course Title
Teaching language
ECTS value
Responsible study board
Date of Approval
Course Responsible
Offered in
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Offered in
Duration
Recommended prerequisites
Aim and purpose
The objective of this course is to provide the student with skills in using tools for quantitative analysis. Emphasis is on giving the student an understanding of statistical methods in interaction with processing using statistical calculation software. The course provides the prerequisites for Advanced Quantitative Methods.
Content
The following topics are addressed in order to achieve the objectives of the course:
- Descriptive statistics: mean variance, mode, median, frequency, quintile, histogram, etc.
- Probability: ules for calculation, dependent, independent, permutation, combinations etc.
- Discrete and continuous distributions, binominal, normal etc.
- Sampling: the distribution of the mean etc.
- Hypothesis testing: sample means and cross tabulation.
- Regression and variance analysis.
Description of outcome - Knowledge
The student can:
- differentiate between descriptive statistics and inferential statistics.
- demonstrate knowledge of probabilistic calculations with discrete and continuous probability distributions.
- demonstrate knowledge of hypothesis testing.
Description of outcome - Skills
The student can:
- describe relevant parts of a data set with relevant descriptive statistics.
- perform probabilistic calculations with discrete and continues probability distributions.
Description of outcome - Competences
The student can:
- select and conduct relevant statistical tests on a given dataset, and interpret the results.
Literature
Reading list (approximately 100 pages):
Erik M. Bøye, “Statistics Companion”, The Essential Guide to Statistical Textbooks, 2010, Swismark, ISBN:978-87-993632-2-3
Erik M. Bøye, “Statistics Companion”, The Essential Guide to Statistical Textbooks, 2010, Swismark, ISBN:978-87-993632-2-3
Supplementary readings (if you do not like the “Statistics Companion”) (665 pages):
Bowerman, O'Connell, Orris & Porter "Essentials of Business Statistics", McGraw-Hill, latest edition.
Teaching Method
Students are expected to have read Bøye (2010) before attending the course.
The lectures will be conducted online via ZOOM/Teams.
Independent studies supplemented by four days of training for examination.
IT is used as an integral part of the teaching, based on the Excel spreadsheet.
Workload
Scheduled teaching (via ZOOM/Teams):
4 x 5 hours in one week in August. Specific dates please see below External comment.
Workload:
The course amounts to 5 ECTS. 1 ECTS equals 27 student working hours. The course will be estimated to require an effort of 135 hours distributed as follows:
- Reading the literature (111 hours)
- Lectures (20 hours)
- Exam (4 hours)
Examination regulations
Exam
Name
Exam
Timing
Exam: August 2024 see the exam plan.
Reexam: in August 2024 see the exam plan.
Please read Additional information.
Tests
Exam
Name
Exam
Form of examination
Take-home assignment
Censorship
Second examiner: None
Grading
7-point grading scale
Identification
Student Identification Card - Exam number
Language
English
Duration
4 hours.
Length
Unlimited.
Examination aids
All examination aids permitted.
It is not allowed to communicate with others.
It is not allowed to communicate with others.
Assignment handover
Will be handed out electronic via Digital Exam with supplementary material on Itslearning.
.
Assignment handin
Via Digital Exam. Handwritten enclosures cannot be submitted as part of the examination paper.
ECTS value
5
Additional information
The examination tests all the relevant areas of the course.
The student will automatically be enrolled for exam in August right after the time of the scheduled classes. See External comment.
It will not be possible to unregister from the exam. If the student does not participate in the exam, it will cost an examination attempt. There are two exam attempts: Ordinary exam and the reexam in the same month.
If the ordinary exam is failed, the student will automatically be enrolled for the reexamination later in August.
The time of reexamination will be announced later, and the exact date will be informed after the ordinary exam.
If the course is taken as a supplementary course after admission to the master's programme (Cand.merc., Cultural Sociology e.g.):
There are two exam attempts: Ordinary exam and the reexam in the same month.
There are two exam attempts: Ordinary exam and the reexam in the same month.
If the course is taken as an elective on a bachelor programme:
Registration for the course is automatically a registration for the ordinary examination in the course. Cancellation is not possible. If the student does not participate in the examination, the student will use an examination attempt.
EKA
B340029302
External comment
Teaching online: 4 x 5 hours in week 33 in August 2024 (August 12th to August 15th both dates included).
Used examination attempts in the former identical course will be transferred.
Courses that are identical with former courses that are passed according to applied rules cannot be retaken.
Courses offered
Offer period | Offer type | Profile | Education | Semester |
---|---|---|---|---|
Spring 2024 | Mandatory | Supplering - alle byer | Bachelor of Science in Economics and Business Administration | Bachelor of Science (BSc) in Economics and Business Administration | Esbjerg, Soenderborg, Odense, Kolding | Spring 2024 | Exchange students |
Teachers
Name | Department | City | |
---|---|---|---|
Jens Fyhn Lykke Sørensen | jls@sam.sdu.dk | Institut for Statskundskab | Esbjerg |