Statistics (3 cr)
Code: 5N00EG78-3008
General information
Enrolment period
23.11.2022 - 05.01.2023
Timing
09.01.2023 - 30.04.2023
Credits
3 op
Mode of delivery
Contact teaching
Unit
TAMK Mathematics and Physics
Campus
TAMK Main Campus
Teaching languages
- Finnish
Degree programmes
- Degree Programme in Bioproduct Engineering
Teachers
- Jukka Suominen
Person in charge
Jukka Suominen
Groups
-
22BIOTA
Objectives (course unit)
Student is able to
- construct graphical presentation for statistical data.
- calculate basic statistical measures with computer.
- interpret data using statistical measures and graphs.
- understand basics of combinatorics.
- calculate probabilities.
- construct a confidence interval and perform a hypothesis test.
- understand the concepts of regression and correlation.
Content (course unit)
Probability, combinatorics, statistical measures, distributions (normal, binomial, t, Poisson), confidence interval, hypothesis testing, use of statistical computer program, regression
Prerequisites (course unit)
Basic use of Excel, Functions and matrices and Integral Calculus, or similar skills
Assessment criteria, satisfactory (1-2) (course unit)
Student understands the difference between population and sample. Student is able to calculate measures of central tendency and variation. He/she knows the basic elements of research methods and is able to present data in charts and tables. Student understands the basic concepts of distributions. He/she is able to solve simple applications that are similar to the problems solved during the course. Justification of solutions and the usage of mathematical concepts may still be somewhat vague.
Assessment criteria, good (3-4) (course unit)
In addition, student is able to apply statistics thinking when handling data from different kind of research methods. Student knows basic elements of decision making with different size of samples. He/she understands meaning of results of regression analysis. Student is able to solve the given exercises independently and helps other students in the group.
Assessment criteria, excellent (5) (course unit)
In addition, student has an overall understanding of course topics. He/she can solve more demanding engineering problems and has the ability to present and justify the chosen methods of solution. Statistical notations and concepts are used precisely. Student is motivated and committed to help the group to manage the course.
Assessment scale
0-5