English

ST501: Science Statistics (5 ECTS)

STADS: 25000101

Level
Bachelor course

Teaching period
The course is offered in the spring semester.
4th quarter.

Teacher responsible

Email: bentj@stat.sdu.dk

Timetable

Group	Type	Day	Time	Classroom	Weeks
Common	I	Tuesday	12-14	U55	15
Common	I	Tuesday	12-14	U45	16-21
Common	I	Thursday	12-14	U45	15-18, 20-21
M1	TE	Monday	14-16	U49E	16-20
M1	TE	Tuesday	14-16	U49E	15, 20-21
M1	TL	Friday	10-12	U10B	16,18
M1	TE	Friday	10-12	U49E	21
S1	TL	Monday	14-16	U10B	16, 18
S1	TE	Monday	14-16	U14	17, 20
S1	TE	Monday	08-10	U49B	19
S1	TE	Thursday	14-16	U49B	15-18, 20-21
S2	TE	Monday	12-14	U49B	17-18
S2	TL	Tuesday	08-10	U10B	16, 18
S2	TE	Thursday	08-10	U49B	21
S2	TE	Friday	12-14	U49B	15-16,18-21
S3	TL	Tuesday	14-16	U10B	16, 18
S3	TE	Thursday	10-12	U49B	17, 20-21
S3	TE	Friday	14-16	U49B	15-16, 18-21
S4	TE	Monday	10-12	U49B	16-20
S4	TE	Wednesday	08-10	U49b	15
S4	TL	Wednesday	08-10	U10B	16,18
S4	TE	Wednesday	10-12	U49B	20-21
S4	TE	Thursday	16-18	U49B	21
S5	TE	Tuesday	08-10	U49B	20-21
S5	TE	Wednesday	14-16	U17	15-21
S5	TL	Wednesday	10-12	U10B	16, 18
S6	TE	Tuesday	14-16	U49B	20-21
S6	TE	Wednesday	12-14	U17	15-21
S6	TL	Wednesday	14-16	U10B	16, 18
S12	TE	Wednesday	14-16	U10	15-16,18-21
S12	TE	Wednesday	14-16	U9	17
S12	TL	Friday	08-10	U10B	16,18
S12	TE	Friday	12-14	U10	20-21

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Show personal time table for this course.

Revison of timetable:
: Hold S1 flyttet mandag uge 19.
: Hold S4 flyttet onsdag uge 15.

Comment:
Obligatorisk på Mat.Øk 1.år.
Ubegrænset deltagerantal. 4. kvartal.

Prerequisites:
None

Academic preconditions:
The contents of the courses Calculus I and II must be known.

Course introduction
To introduce elementary methods from probability theory and statistics with a view to analysing experimental data. The participants will learn to use a statistical computer package for data analysis.

Expected learning outcome
At course end the student will be able to:

• identify problems that can be solved by means of statistics and probability;
• plan the collection of data and calculating sample sizes;
• describe data using graphical and numerical methods from descriptive data analysis;
• perform simple probability calculations using distributions and random variables;
• know standard probability models and identify their areas of application;
• model experimental data using simple statistical models;
• check the correctness of a statistical model;
• estimate parameters in a simple statistical model, and calculating confidence intervals for the parameters;
• test simple statistical hypotheses and interpret the results;
• analyze data using simple regression methods;
• apply a statistical computer package for carrying out simple statistical calculations;
• evaluate critically the relevance of the methods applied and the ensuing inferences;
• formulate statistical results in non-technical terms.

Subject overview
Descriptive data analysis, experimental design, probability, random variables, mean, variance, co-variance, standard probability models, parameter estimation, confidence intervals, hypothesis tests, regression, comparison of groups.

Literature

Meddeles ved kursets start.

Syllabus
See syllabus.

Website
This course uses e-learn (blackboard).

Prerequisites for participating in the exam
None

Assessment and marking:
(a) A 3 hours written exam with all aids (books, notes and calculator). Marks according to the Danish 7-scale.
(b) Mandatory assessments (internal evaluation by lecturer: passed/not passed), which must be passed in order for one to participate in the exam. The assessments may be submitted by groups of max. 2 persons.

Reexamination after 4th quarter in August.

Expected working hours
The teaching method is based on three phase model.

Forelæsninger (28 timer), eksaminatorier (18 timer) og laboratorieøvelser (4 timer).
Educational activities

Language
This course is taught in Danish.

Course enrollment
See deadline of enrolment.

Tuition fees for single courses
See fees for single courses.