Analysis of Experimental Data
Free
COURSE CONTENT
- Multivariate random variables
- Chi-square test
Goodness of fit test, test of independence, test of Homogeneity, test for equality of several proportions
- Simple and Multiple regression
- One way ANOVA and more
- Non parametric tests
(Wilcoxon, Mann- Whitney, Kruskall – Wallis, Friedman tests)
LEARNING OUTCOMES
In this course advanced statistical techniques for the analysis of experimental data are presented analytically. Moreover, the statistical package SpSS 21.0 is also presented.
The main purpose of the course is to familiarize students with statistical methods such as simple and multiple regression, analysis of variance and non-parametric tests which are very useful tools for engineers.
Upon successful completion of the course the student will be able to:
- Use regression models in order to describe the linear relationship between one dependent variable and one or more independent variables and also to predict the dependent variable based on the observations of the independent variables.
- Test for normality of the data and select the proper statistical test (parametric or non-parametric tests)
- Select and apply the proper statistical technique in order to extract useful results and conclusions
Use statistical package SpSS .
Course Features
- Lectures 0
- Quizzes 0
- Skill level All levels
- Language English
- Students 0
- Assessments Yes