Penelitian ini bertujuan untuk mengetahui dan menganalisis perbedaan literasi digital karakter peserta didik antara yang mengikuti kurikulum merdeka dengan 2013. merupakan penelitian eksperimen rancangan Pretest-Posttest Control Group Design. Populasi adalah siswa kelas 1V Kecawatan Sawan. Sampel diambil cara random sampling. Data diukur menggunakan kuesioner. terkumpul dianalisis Manova. Hasil...

Background The student costs of residency interviewing are of increasing concern but limited current information is available. Updated, more detailed information would assist students and residency programs in decisions about residency selection. The study objective was to measure the expenses and time spent in residency interviewing by the 2016 graduating class of the University of Kansas Scho...

The purpose of this study is to analyze the attitudes pre-service classroom teachers towards sustainable development with respect level city they live in and their fathers' mothers’ education level. Survey design was used study. participants consisted 1008 12 universities across Turkey. data collected through a collection tool designed by researcher. To data, descriptive statistics inferential ...

This research aims to study the effect of adventure-based learning on students’ basic statistics achievement, critical thinking, and leadership skills. The quasi-experimental method was used in this through quantitative design. sample consisted 30 year 1 students one Teacher Education Institutes. institute itself determined group students. They are context an intact group. data were analyzed in...

Assessing the assumption of multivariate normality is required by many parametric multivariate statistical methods, such as discriminant analysis, principal component analysis, MANOVA, etc. Here, we present an R package to asses multivariate normality. The MVN package contains three most widely used multivariate normality tests, including Mardia’s, Henze-Zirkler’s and Royston’s multivariate nor...

It is well known that the best equivariant estimator of a variance covari-ance matrix of multivariate normal distribution with respect to the full ane group of transformation is not even minimax. Some minimax estimators have been proposed. Here we treat this problem in the framework of a multivari-ate analysis of variance(MANOVA) model and give other classes of minimax estimators.

The implementation of accurate models to improve access technologies, communication transmission, and network slicing is anticipated play a big part in the edge computing approach, as demands needs individuals are quickly evolving. Deep learning have tended deliver more benefits wide range applications; it also assists data providers demonstrating considerable improvements tackling complex real...