Statistical Methods in Textile Science

Teachers in charge:

Assoc. Prof. Ksenija Smoljak Kalamir

Study:

Textile Science and Technology

Course summary:

ECTS:

Knowledge verification:

Seminar, Oral exam

Precondition for testing:

Writing and presenting seminar

Lecture type:

Lectures, seminars

Subject content:

The role of statistics in scientific research. Using a computer program for statistical analysis and organizing data. Descriptive statistics using graphical and numerical presentation of data in a computer program for statistical analysis. Basic concepts of probability and random variables. Stating statistical hypotheses and testing them using p-values in a computer program for statistical analysis. Parametric model selection and data adjustment. Goodness of fit tests. Type I and type II errors. Regression and correlation analysis. Statistical tests for comparing sample expectations with some reference value. Two sample t-test for means, paired two sample t-test for means and two sample F-test for variances. One-way ANOVA. Tests for homogeneity of variances. Post hoc tests. Two-way ANOVA. Application of statistical quality control in textile science. Non-parametric tests for comparing expectations and variances.

Aim of course:

Educate participants to correctly choose and use a computer program to implement a statistical method for the analysis of data obtained through scientific research, and based on this, make the correct conclusion.

Literature necessary for course:

D. C. Montgomery, G. C. Runger: "Applied Statistics and Probability for Engineers", John Wiley and Sons Inc., 2003.
S. Dowdy, S. Wearden, D. Chilko: "Statistics for research", John Wiley and Sons Inc., 2004.
G. McPherson: "Applying and Interpreting Statistics: A Comprehensive Guide", Springer-Verlag, Berlin, 2001.
J. R. Nagla, Statistics for Textile Engineers, Woodhead publishing India Pvt Ltd., New Delhi – Cambridge – Oxford – Philadelphia, 2014.
D. C. Montgomery: "Introduction to Statistical Quality Control", The McGraw-Hill Companies Inc., New York, 2006.
D. J. Sheskin: "Handbook of Parametric and Nonparametric Statistical Procedures", Crc Press, Taylor & Francis, Boca Raton - London - New York, 2011.