In the present study, we explore the analyses of coping strategy for IT digital divide on the elementary campus. The questionnaire was distributed by stratified random sampling. The cases included 39 schools and 150 teachers. The study adopted the questionnaire of “SWOT Strategic Analysis for Digital Divide” to investigate the digital learning environment on campus and to understand teachers’ o...

Modern visual arts education enables student’s permanent creative expression, while art appreciation plays an equally important role. This article presents the results of a study that monitored the level of art appreciation abilities of 10-year-old primary school students from north-eastern Slovenia utilizing a sample of 1,429 students (n=1,429). The study explored whether there are differences...

We consider the Useful Informational Energy introduced by L. Pardo [5]. Our purpose is to study the asymptotic distribution of its analogue estimator, in a random and stratified sampling, as well as its application to testing hypotheses.

Analyzing data sets of billions of records has now become a regular task in many companies and institutions. In the statistical analysis of those massive data sets, sampling generally plays a very important role. In this work, we describe a scalable simple random sampling algorithm, named ScaSRS, which uses probabilistic thresholds to decide on the fly whether to accept, reject, or wait-list an...

Prentice & Pyke (1979) established that the maximum likelihood estimate of an odds ratio in a case-control study is the same as would be found by fitting a logistic regression; in other words, for this specific target the incorrect prospective model is inferentially equivalent to the correct retrospective model. Similar results have been obtained for other models, and conditions have also been ...

In this paper, for the Stratified Median Ranked Set Sampling (SMRSS), proposed by Ibrahim et al. (2010), we examine the proportional and optimum sample allocations that are two well-known methods for sample allocation in stratified sampling. We show that the variances of the mean estimators of a symmetric population in SMRSS using optimum and proportional allocations to strata are smaller than ...