পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| স্বাধীনতার কাই-স্কয়ার পরীক্ষা× | ক্রেমারের ভি× | |
|---|---|---|
| ক্ষেত্র | পরিসংখ্যান | পরিসংখ্যান |
| পরিবার | Hypothesis test | Hypothesis test |
| উদ্ভবের বছর≠ | 1900 | 1946 |
| প্রবর্তক≠ | Karl Pearson | Harald Cramér |
| ধরন≠ | Nonparametric test of association | Nonparametric association measure |
| মৌলিক উৎস≠ | 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 ↗ | Cramér, H. (1946). Mathematical Methods of Statistics. Princeton University Press. ISBN: 978-0691080420 |
| অপর নাম | chi-squared test, Pearson's chi-square test, test of independence, ki-kare bağımsızlık testi | cramers v, cramer v, phi coefficient (r×c), Cramer's V (İlişki Kuvveti) |
| সম্পর্কিত≠ | 2 | 3 |
| সারসংক্ষেপ≠ | 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. | Cramer's V is a nonparametric effect-size statistic that measures the strength of association between two categorical variables on a scale from 0 to 1. Introduced by the Swedish mathematician Harald Cramér in his 1946 work Mathematical Methods of Statistics, it generalises the phi coefficient to tables of any size, making it the standard companion statistic to the chi-square test. |
| ScholarGateডেটাসেট ↗ |
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