Tilastolliset tutkimusmenetelmät (5op)

Arviointiasteikko

H-5

Sisällön jaksotus

September – December 2019.
9/19 - 11/19: Part 1 theory and homework
10/19 - 11/19: Part 2 lectures and assignments
12/19: final exam
• Why Study Statistics
• populations and samples
• Organizing Data
• Analyzing data
• Averages and Variation
• Deviations
• Correlation and Regression
• Estimation

Tavoitteet

Opintojakson suoritettuaan opiskelija osaa: laatia johdonmukaisen ja ymmärrettävän tieteellisen kirjoitelman soveltaa tiedonhankinnan ja tieteellisen tekstin käytänteitä tutkimusraportissaan laskea tilastolliset tunnusluvut tilastollisesta datasta sekä selittää tunnuslukujen merkityksen laatia graafisia esityksiä tilastomateriaalista ja tulkita näitä esityksiä soveltaa tärkeimpiä tilastollisia menetelmiä ongelmien ratkaisuun ja analysointiin sekä hypoteesien testaukseen.

Sisältö

tutkimusmenetelmät tieteellinen teksti tutkimusraportin kirjoittaminen tilastolliset peruskäsitteet todennäköisyyslaskenta tilastollinen päättely estimointi

Oppimateriaalit

Probability and Statistics (3rd edition), Murray R. Spiegel, John J. Schiller, R. Alu Srinivasan, SCHAUM’S outlines.

Opetusmenetelmät

Teacher-directed classroom activities, group work and independent work; project work, reports, task-based (homework)

Pedagogiset toimintatavat ja kestävä kehitys

The course is divided into two parts. Part 1 gives basic knowledge about statistic methods.
The contents of the part 1 give understanding of how to collect data from different data sources, distinguish between different data types, sample data, and the students will be able to compute the characteristics of a sample and explain the meaning of them, present data graphically and read graphical graphs.
Part 2 focuses on how students can apply their knowledge of statistical methods into real life problems. Students learn how to read and interpret quantitative research articles, how to choose research methods for thesis work and how to collect data. Different assignments are conducted during the lectures and as homework to support learning. At the end of part 2 students will prepare a final assignment on how to evaluate quantitative research and how to make a research plan that includes statistic methods.
Task-based assessment supports learning and is continuous throughout the course.

Opiskelijan ajankäyttö ja kuormitus

Classroom activities: Classroom activities participation 24 h
Homework (Part 1): Working on homework sets 1-6 30 h
Final exam (Part 1): Preparing for the final exam 27 h
Homework (Part 2): Homework sets 1-3 24 h
Final assignement (Part 2): Final assignment on applying statistical methods in practice 24 h

Arviointimenetelmät ja arvioinnin perusteet

Homework sets 1-6: 30 %
-Total of thirty homework exercises based on reading material and classroom notes
-Diagnostic/formative self / teacher evaluation in connection with each homework set return session
Final assignment 40 %
-Each outcome of the project work is assessed independently (assessment criteria is specified in Optima)
-Peer feedback summative teacher feedback at the end of the course
Final exam 30 %
-A written exam (1,5 hrs) on specified material
-Summative teacher evaluation at the end of the course

Lisätiedot

All practical information on timetables, project work, grading etc., as well as links to web materials are provided in Optima.