 Learning objectivesStudents should be able to understand the underlying concepts of the statistical analysis methods and the underlying statistical assumptions. They should be able to apply them to real data sets and should know which method to choose when they are confronted the certain data sets  Content
Researchers are often interested in finding out if
 groups of units (people, products, processes, etc) are different from each other in one or a few number of characteristics
 variables are related or unrelated to each other
 a set of variable can be described by one or more other variables
To answer these questions, researchers should select appropriate statistical approaches. The selection depends on certain assumptions that the researcher is willing to make. The course provides an overview of many of the different parametric and nonparametric methods that are available to analyze data and answer these questions. The statistical methods that will be discussed, after a short overview of basic statistical methods, are measures of effect sizes, measures of correlation, linear regression, goodnessoffit measures, normality tests, outlier tests, several nonparametric tests, analysis of variance, etc. An overview of topics
Nonparametric tests for one sample
 Normality test
 Tests for skewness and kurtosis
 Chisquare goodnessoffit test
 KolmogorovSmirnov goodnessoffit test
 Runs tests for serial correlation
 Outlier tests
Nonparametric tests for two samples (independent and paired)
 Chisquare test
 Fisher exact test
 McNemar test
 Sign test
 Wilcoxon signed rank test
 MannWhitney test
More than two samples
 Analysis of variance (balanced and unbalanced)
 Cohen’s d
 Diagnostics (homogeneity of variance tests, outlier tests)
 Multiple comparisons
 KruskalWallis test
 Correlation/association/agreement
 Pearson correlation coefficient
 Spearman rank
 Kendall’s tau
 Kendall coefficient of concordance
 Odds ratio
 The contingency coefficient
 The phi coefficient
 Cramer’s phi coefficient
 Cohen’s Kappa
 Intraclass correlation coefficient
Regression analysis & AN(C)OVA
 Simple linear regression
 Multiple linear regression
 Diagnostics
 Transformations
 Twoway anova
 Ancova
 Entrance requirementsEntrance requirements tests Assumed previous knowledgeBasic knowledge in probability and statistics. Student should be aware of hypothesis testing, ttest, estimation, simple linear regression.  Previous knowledge can be gained byResources for self studyShort promotional description of the course 
The course focuses on statistical analysis of different types of data. The course will provide both parametric and nonparametric methods for analyzing this type of data 
Short promotional description of the course 
The course focuses on statistical analysis of different types of data. The course will provide both parametric and nonparametric methods for analyzing this type of data 
Bachelor College or Graduate School 
2MMS20 Statistics for big data2DI70 Statistical learning theory2DD23 Time series analysis and forecasting 
2MMS20 Statistics for big data2DI70 Statistical learning theory2DD23 Time series analysis and forecasting 
  Required materialsRecommended materialsSAS/STAT 9.2 User’s Guide: Introduction to Nonparametric Analysis, SAS Institute Inc., 2008  SAS/STAT 9.2 User’s Guide: The GLM Procedure, SAS Institute Inc., 2009  SAS/STAT 9.2 User’s Guide: The NPAR1WAY Procedure, SAS Institute Inc., 2009  Outlier Analysis, Charu Aggarwal, Springer, 2013, eBook 9781461463962  Power point slides, real data sets from practice, and handouts from book chapters that are electronically available from the library or from internet.  Data Analysis and Data Display, Richard Heiberger and Burt Holland, Springer, 2004, eBook 9781475742848  Handbook of Parametric and Nonparametric Statistical Procedures, Third Edition, David J. Sheskin. Chapman and Hall/CRC, 2003, eBook ISBN: 9781420036268.  The statistical methods will be explained in SAS (and in R) 
 Instructional modesCollege / course General Remark 
 TestsWrittenTest weight   100 
Minimum grade   6 
Test type   Written 
Number of opportunities   2 
Opportunities   Block 2, Block 3 
Test duration in minutes   180 
Assessment RemarkThe assignments will be conducted in groups. The three grades are averaged to obtain a final grade, under the condition


 