सहसंबंध-गुणांक हिंदी उपयोग और उदाहरण

मैट्रिक्स सहसंबंध - एक सममित n × मैट्रिक्स n, चर यादृच्छिक सहसंबंध गुणांक के कई जोड़ो में गठित द्वारा एस।

संभाव्यता प्लॉट सहसंबंध गुणांक प्लॉट।

""Pearson उत्पाद-पल सहसंबंध गुणांक (Pearson product-moment correlation coefficient)।

Pearson उत्पाद-पल सहसंबंध गुणांक (Pearson product-moment correlation coefficient)।

स्पीअरमैन की रैंक सहसंबंध गुणांक (Spearman's rank correlation coefficient)।

उन दिनों आँकड़ा विज्ञान (Statistics) की आधुनिक विधि का तात्पर्य था सहसंबंध गुणांक (Correlation Coefficient) का प्रयोग।

सहसंबंध-गुणांक इसके अंग्रेजी अर्थ का उदाहरण

An alternative measure of performance is the Matthews correlation coefficient, for which any random classifier will get an average score of 0.

is the correlation coefficient of m and t.

Pearson introduced the correlation coefficient and the chi-squared test.

The 1900–1920 period saw the t-test (Student, 1908), the ANOVA (Fisher, 1925) and a non-parametric correlation coefficient (Spearman, 1904).

Volunteer Basij personnel of the Iran–Iraq War The point biserial correlation coefficient (rpb) is a correlation coefficient used when one variable (e.

If we divide the data set into two groups, group 1 which received the value "1" on Y and group 2 which received the value "0" on Y, then the point-biserial correlation coefficient is calculated as follows:.

The version of the formula using sn"minus;1 is useful if one is calculating point-biserial correlation coefficients in a programming language or other development environment where there is a function available for calculating sn"minus;1, but no function available for calculating sn.

Also the square of the point biserial correlation coefficient can be written:.

A little algebra shows that the usual formula for assessing the significance of a correlation coefficient, when applied to rpb, is the same as the formula for an unpaired t-test and so.

Anil Kumar Gayen (অনীল কুমার গায়েন), FRS (1 February 1919 – 7 February 1978) was an Indian mathematician and statistician best known for his works on the Pearson product-moment correlation coefficient in the field of applied statistics, with his colleague Sir Ronald Fisher.

A rank correlation coefficient measures the degree of similarity between two rankings, and can be used to assess the significance of the relation between them.