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Literacy. v. t. e. Fountas & Pinnell reading levels (commonly referred to as "Fountas & Pinnell") are a proprietary system of reading levels developed by Irene Fountas and Gay Su Pinnell and published by Heinemann to support their Levelled Literacy Interventions (LLI) series of student readers and teacher resource products. [ 1]
The Pearson product-moment correlation coefficient, also known as r, R, or Pearson's r, is a measure of the strength and direction of the linear relationship between two variables that is defined as the covariance of the variables divided by the product of their standard deviations. [ 4] This is the best-known and most commonly used type of ...
Correlogram. A plot showing 100 random numbers with a "hidden" sine function, and an autocorrelation (correlogram) of the series on the bottom. In the analysis of data, a correlogram is a chart of correlation statistics. For example, in time series analysis, a plot of the sample autocorrelations versus (the time lags) is an autocorrelogram.
Drag coefficients in fluids with Reynolds number approximately 10 4[ 1][ 2] Shapes are depicted with the same projected frontal area. In fluid dynamics, the drag coefficient (commonly denoted as: , or ) is a dimensionless quantity that is used to quantify the drag or resistance of an object in a fluid environment, such as air or water.
Dave Kerby (2014) recommended the rank-biserial as the measure to introduce students to rank correlation, because the general logic can be explained at an introductory level. The rank-biserial is the correlation used with the Mann–Whitney U test, a method commonly covered in introductory college courses on statistics. The data for this test ...
In statistics, Spearman's rank correlation coefficient or Spearman's ρ, named after Charles Spearman [ 1] and often denoted by the Greek letter (rho) or as , is a nonparametric measure of rank correlation ( statistical dependence between the rankings of two variables ). It assesses how well the relationship between two variables can be ...
Pearson's correlation coefficient is the covariance of the two variables divided by the product of their standard deviations. The form of the definition involves a "product moment", that is, the mean (the first moment about the origin) of the product of the mean-adjusted random variables; hence the modifier product-moment in the name.
The correlation reflects the noisiness and direction of a linear relationship (top row), but not the slope of that relationship (middle), nor many aspects of nonlinear relationships (bottom). N.B.: the figure in the center has a slope of 0 but in that case, the correlation coefficient is undefined because the variance of Y is zero.