One of the hallmarks of statistical thinking is the importance of measuring and understanding variability. The Shewhart Control Chart, which separates special cause from common cause variation, is one of the most important tools for understanding the current state of a process. The analysis of variance (ANOVA) is another statistical tool for splitting variability into component sources. These c...

A large nurober of investigations have been undertaken to develop technical systems in order to enable a tactile substitution of speech for the deaf. These aids have been evaluated with various experimental procedures (identification and discrimination tests, learning experiments, tracking procedures and other overt behaviour methods). In order to find additional evidence for the processing and...

Multivariate analysis of variance and profile are often used for comparison testing in a multivariate perspective. In this paper, we treatment data psychological study. Forty patients were randomly assigned to one four therapies with exactly ten per therapy. Three standard instruments assess outcome. These the Symptom Index Kleptomania Evaluation (SIKE), Social Functioning Disorder Inventory (S...

ANOVA was developed by the English statistician, R.A. Fisher (1890-1962). Though initially dealing with agricultural data[1], this methodology has been applied to a vast array of other fields for data analysis. Despite its widespread use, some practitioners fail to recognize the need to check the validity of several key assumptions before applying an ANOVA to their data. It is the hope that thi...