نتایج جستجو برای: selected through stratified sampling method
تعداد نتایج: 3185509 فیلتر نتایج به سال:
The problems of multivariate sampling arising in the areas of stratified random sampling, two stage sampling, double sampling and response errors formulate as multiobjective convex programming problems with convex objective functions and a single linear constraint with some upper and lower bounds.
BackgroundIn most of the developing countries, the girl child is ill fed and undernourished. 1 Quite often the root cause of malnutrition among girls is not so much the lack of food as the lack of access to food. Thus undernourished girls who grow into undernourished women perpetuate the intergenerational undernourishment cycle.2 Aims and objectives1To assess the health status of female child, ...
The present research investigates factors influencing rural women’s occupational capability in Ilam County. The statistical population of this study includes employed rural women in Ilam county (N= 1088). Through Cochran formula 323 people were selected as the sample. Sampling was carried out through stratified random sampling. Content and face validity of the que...
This study examined the perceptions of headteachers, teachers, and learners regarding instructional effectiveness University Cape Coast distance trained teachers. The convergent parallel mixed-method design was employed to conduct study. Research participants comprising 25 667 138 were selected through purposive sampling, stratified random simple sampling techniques respectively. Mean standard ...
This descriptive correlational study was intended to explore the relationship between university students’ perceived teacher immediacy and their motivation. 800 students were selected from eight different universities of district Lahore through a multi-stage stratified random sampling method. Out selected, 726 participants responded on adapted Verbal Immediacy Behaviors (VIB), Revised Nonverbal...
Stochastic Gradient Descent (SGD) is a popular optimization method which has been applied to many important machine learning tasks such as Support Vector Machines and Deep Neural Networks. In order to parallelize SGD, minibatch training is often employed. The standard approach is to uniformly sample a minibatch at each step, which often leads to high variance. In this paper we propose a stratif...
considering the pace of scientific, technological and cultural developments, one will have no other choice but to learn over a lifetime. mobile learning as a new stage of e-learning development with the potential of using mobile devices, is supposed to be an effective means for lifelong learning. therefore, the purpose of this survey was to analyze the problems of agricultural education system ...
concern over the depletion of natural resources in general, and water scarcity in particular, has stimulated the development and implementation of some policies aimed at changing farmers' behavior in terms of conserving water. in this regard, government has recently begun to invest on researches supporting the technical solutions on conserving water in the agricultural sector as the bigges...
the present study investigated the effect of the two vocabulary teaching techniques in est, namely the use of translation and the use of visual aids as two separate vocabulary teaching techniques. to answer the question of the study, a pretest (michigan test) was administered to the 58 randomly selected est students at khajeh nasiredin tusi university, faculty of mechanics. after the homogeneit...
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