Basics of Quality (5 cr)

Evaluation scale

H-5

Content scheduling

Statistics:
- File formats and reading data files
- Data cleansing, outlier tests
- Graphical representation of data
- Curve fitting, linear regression
- Sampling and descriptive statistical
- Statistical tests, Z- test, F-test, Student's t-test

Objective

The student knows the basic terminology of quality and metrology and identifies various quality control systems. The student knows how to estimate the uncertainty of measurements. The student is able to use statistical methods to estimate the reliability of the measurements in the report.

Content

The terminology of quality, metrology and quality system. The basics of statistics in the laboratory, the reliability of measurements.

Materials

Basic Statistics : Understanding Conventional Methods and Modern Insights
Rand R. Wilcox

The book is available at the Turku University of Applied Sciences Library as an e-book: https://ebookcentral.proquest.com/lib/turkuamk-ebooks/detail.action?docID=453655

Teaching methods

Statistics Student centric teaching methods

Exam schedules

Statistics: To be announced later

Pedagogic approaches and sustainable development

Statistics: Guided exercises and self study

Student workload

Statistics
Guided exercices: 20 h
Independent work 34 h

Evaluation methods and criteria

Statistics: Assessment is based on one final exam

Failed (0)

Statistics < 50 % of the total exam scores

Assessment criteria, satisfactory (1-2)

Statistics 60-70 % of the total exam scores

Assessment criteria, good (3-4)

Statistics 70-80 % of the total exam scores

Assessment criteria, excellent (5)

Statistics > 90 % of the total exam scores