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 […]

Read More

Binomial CDF Calculator

Binomial CDF Calculator Calculate the cumulative probability for a binomial distribution: $$ P(X \le x)=\sum_{k=0}^{\lfloor x \rfloor} \binom{n}{k} p^k (1-p)^{n-k}. $$ * Enter the number of trials \( n \), probability of success \( p \) (between 0 and 1), and a value \( x \). Step 1: Enter Parameters Number of Trials, \( n […]

Read More

Noncentral F-Distribution CDF Calculator

Noncentral F-Distribution CDF Calculator Noncentral F-Distribution CDF Calculator Calculate the cumulative probability \( P(F \leq x) \) for the noncentral F-distribution. * Enter the F-value (\( x \)), numerator degrees of freedom (\( d_1 \)), denominator degrees of freedom (\( d_2 \)), and noncentrality parameter (\( \lambda \)). Step 1: Enter Parameters F-value, \( x […]

Read More

Cohen’s d Calculator for Student t-Test

Cohen’s d Calculator for Student t-Test Cohen’s d Calculator for Student t-Test Calculate the standardized difference between two group means using: $$ s_p = \sqrt{\frac{(n_1-1)s_1^2+(n_2-1)s_2^2}{n_1+n_2-2}},\quad d=\frac{M_1-M_2}{s_p}. $$ * Enter the sample sizes, means, and standard deviations for both groups. Group 1 Parameters Sample Size, \( n_1 \): e.g., 30 Mean, \( M_1 \): e.g., 100 […]

Read More

Indirect Effect Calculator for Mediation Models

Indirect Effect Calculator for Mediation Models Indirect Effect Calculator for Mediation Models Calculate the indirect effect using the product-of-coefficients method: $$ \text{Indirect Effect} = a \times b $$ * Enter the path coefficient \( a \) (from the independent variable to the mediator) and \( b \) (from the mediator to the dependent variable). Step […]

Read More