Covariance Calculator (from Correlation Coefficient)

Covariance Calculator (from Correlation Coefficient) Covariance Calculator (from Correlation Coefficient) Use this calculator to determine the Covariance between two variables based on their Correlation Coefficient and standard deviations. Input your correlation coefficient and the standard deviations of the two variables to compute the covariance. Correlation Coefficient (( r )): Standard Deviation of X (( s_X […]

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Chi-Square PDF Calculator

Enter a chi-square value (x) and the degrees of freedom (df) to find the probability density (PDF) of the Chi-Square distribution at that point. This tool uses approximations for the gamma function. For professional uses, please rely on specialized statistical software. Chi-Square PDF Calculator | Compute Probability Density Chi-Square PDF Calculator Enter a chi-square value […]

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Regularized Upper Incomplete Gamma Function Calculator

Regularized Upper Incomplete Gamma Function Calculator Regularized Upper Incomplete Gamma Function Calculator Compute the regularized upper incomplete gamma function: $$ Q(s,x)=\frac{\Gamma(s,x)}{\Gamma(s)}=1-P(s,x), $$ where $$ P(s,x)=\frac{1}{\Gamma(s)}\int_0^x t^{s-1}e^{-t}\,dt. $$ * Enter a shape parameter \( s>0 \) and an upper limit \( x\ge 0 \). Step 1: Enter Parameters Shape Parameter, \( s \): e.g., 2 Upper […]

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F-Value Calculator for Hierarchical Multiple Regression

Hierarchical Regression F‑Value Calculator Hierarchical Regression F‑Value Calculator Calculate the incremental F‑statistic for hierarchical regression using: $$ F=\frac{(R^2_{\text{full}}-R^2_{\text{base}})/(k_{\text{full}}-k_{\text{base}})}{(1-R^2_{\text{full}})/(n-k_{\text{full}}-1)}. $$ * Enter the sample size \( n \), baseline model \( R^2 \) and number of predictors \( k_{\text{base}} \), and full model \( R^2 \) and number of predictors \( k_{\text{full}} \). Note: \( n […]

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Beta (Type II Error Rate) Calculator for Hierarchical Multiple Regression

Use this calculator to estimate the Beta (Type II Error Rate) in your hierarchical multiple regression analysis. By inputting the number of predictors, effect size, sample size, desired power, and alpha level, you can understand the likelihood of failing to reject the null hypothesis when it is false. For critical decisions, verify results with professional […]

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