পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| অনুপাত পরীক্ষার জন্য শক্তি বিশ্লেষণ× | স্বাধীনতার কাই-স্কয়ার পরীক্ষা× | |
|---|---|---|
| ক্ষেত্র | পরিসংখ্যান | পরিসংখ্যান |
| পরিবার | Hypothesis test | Hypothesis test |
| উদ্ভবের বছর≠ | 1988 | 1900 |
| প্রবর্তক≠ | Jacob Cohen | Karl Pearson |
| ধরন≠ | Sample size determination | Nonparametric test of association |
| মৌলিক উৎস≠ | Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates. DOI ↗ | Pearson, K. (1900). On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling. Philosophical Magazine, 50(302), 157–175. DOI ↗ |
| অপর নাম | proportion power analysis, two-proportion z-test power, z-test for proportions power, Oran Testi Güç Analizi | chi-squared test, Pearson's chi-square test, test of independence, ki-kare bağımsızlık testi |
| সম্পর্কিত≠ | 3 | 2 |
| সারসংক্ষেপ≠ | Power analysis for proportion tests is a prospective sample-size planning method used to determine how many participants are needed to detect a meaningful difference between two (or one) proportions with a specified probability. Formalised by Jacob Cohen in his 1988 landmark text, it applies the arcsine transformation to convert proportions into the effect-size index h, enabling direct calculation of the required sample size. | The chi-square test of independence is a nonparametric hypothesis test that examines whether two categorical variables are associated by comparing observed and expected frequencies in a cross-tabulation. It rests on the chi-square criterion introduced by Karl Pearson in 1900. |
| ScholarGateডেটাসেট ↗ |
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