نتایج جستجو برای: sample t test value4
تعداد نتایج: 1745314 فیلتر نتایج به سال:
the present study is an attempt to investigate the potential impact of inspirational quotes on improving english abstract vocabulary recall. to achieve this goal, a multiple choice language proficiency test of 60 items including vocabulary and grammar component was administered to a sample of 63 second-semester male and female students whose age ranged between 17 to 22 and they were studying en...
در جهان امروز و در شرایط رقابتی بازار، کیفیت محصول و بهره وری به عنوان دو عامل اساسی و مهم در حفظ و بقای موسسات حرف اول را زده و آنهایی که از بهره وری و کیفیت بالاتری برخوردار هستند در بازار حضور داشته و ماندگار خواهند ماند. از این رو اطلاع مداوم از وضعیت بازار و کیفیت و کمیت محصولات رقبا و همچنین سیستم ها و روش های انجام کار آنها برای هر موسسه و شرکت رقیب ضروری و اجتناب ناپذیر است تا ضمن اینکه...
Phlebotomy is often addressed as a crucial process in the pre-analytical phase, in which a large part of laboratory errors take place, but to date there is not yet a consolidated methodological paradigm. Seeking literature, we found 36 suitable investigations issued between 1996 and 2016 (April) dealing with the investigation of pre-analytical factors related to phlebotomy. We found that the la...
BACKGROUND The 2 × 2 factorial design is widely used for assessing the existence of interaction and the extent of generalizability of two factors where each factor had only two levels. Accordingly, research problems associated with the main effects and interaction effects can be analyzed with the selected linear contrasts. METHODS To correct for the potential heterogeneity of variance structu...
In neuropsychological single-case studies, a patient is compared with a small control sample. Methods of testing for a deficit on Task X, or a significant difference between Tasks X and Y, either treat the control sample statistics as parameters (using z and zD) or use modified t tests. Monte Carlo simulations demonstrated that if z is used to test for a deficit, the Type I error rate is high f...
We develop an approach for microarray differential expression analysis, i.e. identifying genes whose expression levels differ between two or more groups. Current approaches to inference rely either on full parametric assumptions or on permutation-based techniques for sampling under the null distribution. In some situations, however, a full parametric model cannot be justified, or the sample siz...
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