The number 6 in the Spearman's rank correlation coefficient formula is a constant used to standardize the formula and make it more interpretable. It helps to scale the formula so that the resulting correlation coefficient falls within the range of -1 to 1, which indicates the strength and direction of the relationship between the ranked variables. Essentially, the 6 in the formula is a mathematical adjustment that ensures the correlation coefficient is properly calculated and comparable across different data sets.
Well, hello there, friend! The number 6 in the Spearman's rho formula helps in calculating the covariance between the ranks of the two variables. It's like a gentle breeze guiding the formula to measure how well the ranks of two variables are related. Just a little touch of magic to help us understand the strength and direction of the relationship between the variables.
Rho is the seventeenth letter of the Greek alphabet.
If what you're after is a simple solution in a statistical software, the quick answer is no. If your data dictates the use of nonparametric statistics (so you cannot use Pearson's), it may be an idea to try logistic regression instead.If, however, you're up for a challenge, there has been a recent (2010) paper exploring the possibility of using Kendall's tau, Spearman's rho and Spearman's footrule in multivariate analysis:Journal of Multivariate AnalysisVolume 101, Issue 10, November 2010, Pages 2398-2410Concordance measures for multivariate non-continuous random vectors by Mesfioui M and Quessy J-F.doi:10.1016/j.jmva.2010.06.011Good luck!
Although Spearman's rank correlation coefficient puts a numerical value between the linear association between two variables, it can only be used for data that has not been grouped.
m, m+6, m+12
That would depend on the radius which has not been given but the area of the semi circle will be (pi*radius squared)/2
Spearman's rank correlation coefficient is given in the related link at the bottom of this page.
spearman's rho
The Spearman coefficient can be calculatated only for two characteristics of the observed population, as for kendall's W there may be two or more characteristics.
not otherwise....split half method is one way of determining reliability of your test and Spearman-Brown formula is a technique used to re-calculate the correlation of your test when you split your test items into half.... this means that the result of Spearman-Brown provides you the correlation of your test in full length.
The formula for head in fluid mechanics is given by ( h = \frac{P}{\rho g} ), where ( h ) is the head, ( P ) is the pressure, ( \rho ) is the fluid density, and ( g ) is the acceleration due to gravity.
Try this link: http://mathforum.org/library/drmath/view/52774.html - its quite a complicated explanation!
Glenn Spearman was born in 1947.
Glenn Spearman died in 1998.
Alexander Spearman was born in 1901.
Alexander Spearman died in 1982.
Robert Spearman died in 1761.
Robert Spearman was born in 1703.