Bayes' Theorem, `P(A|B) = (P(B|A)*P(A))/(P(B))`, computes the probability of event A occurring if event B is true. 

Bayes' Theorem, `P(A|B) = (P(B|A)*P(A))/(P(B))`, computes the probability of event A occurring if event B is true. It is based in part on the idea that someone's personal experiences may affect their perception at the time they see the event. The event can be 

The Brzycki Max Weight calculator computes the approximate maximum weight one can lift using the Brzycki formula. 

The chi-square goodness-of-fit test, `x^2 = Σ(((fo – fe)^2) / (fe))`, is used to determine if the selected sample proportions of data are significantly different from the population proportions. The chi-square distribution is positively skewed, and the critical region lies in the extreme tail returning large chi-square values (Gravetter and Wallnau, 2013). Chi-square tests are necessary when your data are at a nominal scale of measurement.

This dataset provides the critical values for evaluating the significance of chi-squared tests.

The chi-squared test for association measures the association between two variables. It is distinct from a chi-squared test for independence, which is non-parametric, and from a goodness-of-fit test, which measures how strongly two variables are correlated (Gravetter and Wallnau, 2013).

Choosing a Parametric Test is a decision aid to help you determine the most appropriate parametric test to analyze your data. Parametric tests are useful for data that is measured on a continuous scale, or that meets parametric assumptions Once you get an answer, find it under the "Parametric" tab on the calculator.

This equation is to help you determine the specific type of relationship that is best for interpreting your data. The "Relationship" tab on the Statistical Decision Tree Calculator provides an assortment of tests for analyzing relationships, including the one that is best for you!