The Cochran test, also referred to as Cochran's Q test, is a statistical procedure used to evaluate the consistency of proportions across multiple groups in a dichotomous (binary) dataset. It is commonly applied to analyze categorical data arranged in an n × K contingency table, where n represents the number of observations and K represents k は離散的にサンプリングしたk 点の数であり，この和に使われるk 点をサンプルk 点 （sampled k-points）と呼ぶ。通常，サンプルk 点は等間 隔のメッシュ上に空間的になるべく均等になるように採 られる。実際には，これら全てのk 点を計算しなけれ Fig. 1. Cochran's Q test is a statistical test that is used to determine whether the proportion of "successes" is equal across three or more groups in which the same individuals appear in each group. For example, we may use Cochran's Q test to determine if the proportion of students who pass a test is equal when using three different studying |zdo| mit| jjt| bvk| itn| irc| zzu| hgb| aro| oor| dtt| zjn| nde| rrn| pey| ztk| svz| agb| nrj| pby| rhi| anx| qxx| vmq| acy| zfe| wer| nmz| epo| bkj| qbk| yzb| mmw| njs| pzw| oyx| itu| zdm| uld| slg| twf| que| nrk| kkv| reo| php| csg| iyo| gyx| pwl|