SC 503 - Design and Analysis of Experiments ( 3 Credits )
SC 506 - Multivariate Methods I ( 2 Credits )
SC 517 - Non parametric and Categorical Data Analysis ( 3 Credits )
Course Aim/Intended Learning Outcomes:
At the completion of this course student will be able to
Ø describe the properties of commonly used statistical distributions for modelling non-normal data
Ø decide whether parametric or non-parametric test is suitable for analyzing data according to the situation
Ø carrying out the appropriate parametric or non-parametric test to analyze data.
Ø use the basic methods for analyzing contingency tables
Ø recognize and define the categorical data, recall key concepts of models for categorical data, state analysis plan and reproduce a research design.
Course Content: (Main topics, Sub topics)
Non parametric tests for one sample test: sign test, sign rank test, non parametric tests for independent two sample test and paired test, Spearman Rank, Kruskal-Wallis test, types of categorical data, Chi squared test for independency, Odds ratio, relative risk calculation, ordinal and nominal logistic regression, Measures of association.
- Teacher: Dr. Hemalika Abeysundara