— Currently most on-campus universities provide an LMS to support teaching and learning. Although most of them gather usage statistics, these are rarely used to improve the quality of education. In this paper, a data analysis methodology is proposed. This methodology facilitates a continuous improvement of the LMS, and includes an inferential analysis which relates usage statistics to education...

The multivariate normality of stock returns is a crucial assumption in many tests of assets pricing models. While past Australian research has examined the univariate normality of returns, univariate test statistics are unreliable for testing multivariate normality since they ignore the contemporaneous correlation between asset returns. This paper utilises a multivariate test procedure, based o...

Robust statistics is an extension of classical parametric statistics that specifically takes into account the fact that the assumed parametric models used by the researchers are only approximate. In this article, we review and outline how robust inferential procedures may routinely be applied in practice in the biomedical research. Numerical illustrations are given for the t-test, regression mo...

When researchers conduct large prospective studies, they provide results generating statistical analysis; therefore readers need considerable familiarity with descriptive and inferential statistics. If quantitative judgments are based on interpreting odds ratios as though they were relative risks, they are unlikely to be seriously in error. Because of the calculating method, the OR is often les...

BACKGROUND Although voxel based morphometry studies are still the standard for analyzing brain structure, their dependence on massive univariate inferential methods is a limiting factor. A better understanding of brain pathologies can be achieved by applying inferential multivariate methods, which allow the study of multiple dependent variables, e.g. different imaging modalities of the same sub...

Standard deviation (SD) and standard error (SE) are quietly but extensively used in biomedical publications. These terms and notations are used as descriptive statistics (summarizing numerical data), and they are used as inferential statistics (estimating population parameters from samples). I review the use and misuse of SD and SE in several authoritative medical journals and make suggestions ...

this study aimed at the frequency and type of using cell-phone by high school students. the research method used was a descriptive-survey one. the statistical society included all the high school students in mazandran in 2010-11 academic year. the sample was chosen through multi-stage stratified random sampling method and 383 subjects were selected based on kerjecie and morgan's table. a r...