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: 17-09-2019
Duration: Intensive course
Course ID
Course Title
Teaching language
ECTS value
Responsible study board
Date of Approval
Course Responsible
Offered in
Level
Offered in
Duration
Mandatory prerequisites
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.
Learning goals
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 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
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
Week ?? in August 2020 (exact time will be informed in April 2020).
Students are expected to have read Bøye (2010) before attending the course.
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
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
The student will automatically be enrolled for the exam in August 2020 (to be announced in April 2020), right after the time of the scheduled classes.
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. If the ordinary exam is failed, the student will automatically be enrolled for the reexamination in week ?? (end August) in 2020. The exact time and date of the reexamination will be announced later and 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.
The form of the reexam is subject to change. The students are informed about the change in format after the students have signed in the reexam.
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.
Tests
Exam
Name
Exam
Form of examination
Written examination on premises
Censorship
Second examiner: None
Grading
7-point grading scale
Identification
Student Identification Card - Exam number
Language
English
Duration
4 hours.
Length
Unlimited.
Examination aids
The examination is held using the student's own PC.
Internet access: Internet access is necessary.
All examination aids permitted. It is not allowed to communicate with others.
All examination aids permitted. It is not allowed to communicate with others.
Assignment handover
Will be handed out in the examination room, with supplementary material on blackboard.
Assignment handin
Via SDU Assignment in Blackboard. 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.
If there are few students registrered for the exam or the reexam the Vice-Head of department can decide that the form of exam and reexam change to an oral exam.
EKA
B340029302
External comment
NOTE - This course is identical with the former course 8276301 Statistical tools.
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.
The student is automatically registered for the first examination attempt when the student is registered for a course or course element with which one or more examinations are associated. Withdrawal of registration is not possible, and students who fail to participate in an examination have used one examination attempt, unless the University has made an exemption due to special circumstances.