Statistical tools

Course ID

B340029301

Course Title

Statistical tools

Teaching language

English

ECTS value

Responsible study board

Study Board of Political Science, Journalism, Sociology, and European Studies

Date of Approval

15-09-2020

Course Responsible

Name	Email	Department
Jens Fyhn Lykke Sørensen	jls@sam.sdu.dk	Institut for Sociologi, Miljø- og Erhvervsøkonomi

Offered in

Esbjerg

Level

Supplementation

Offered in

Summer school (spring)

Duration

Intensive course

Recommended prerequisites

Mathematics level B from secondary school.

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

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.

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 tecahing:
5 x 4 hours in one week in August, Specific dates please see below External comment.

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 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. See External comment.

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.

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.

Assignment handover

Will be handed out electronic via Digital Exam in the examination room, with supplementary material on blackboard.

Assignment handin

Via Digital Exam. Handwritten enclosures cannot be submitted as part of the examination paper.

ECTS value

Additional information

The examination tests all the relevant areas of the course.

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.

EKA

B340029302

External comment

Teaching: 5 x 4 hours in week ?? in August 2021 (August ?? to August ?? both dates included) will be updated in April 2021.

Exam: August ?? 2021. Reexam: August ?? 2021 (Exact dates to be announced in April 2021).

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.

Courses offered

Offer period	Offer type	Profile	Education	Semester

Teachers

Name	Email	Department	City
Jens Fyhn Lykke Sørensen	jls@sam.sdu.dk	Institut for Sociologi, Miljø- og Erhvervsøkonomi	Esbjerg

URL for Skemaplan

Esbjerg

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