Consider studies designed to compare the occurrence of a binary outcome between two populations: population A and population B. In general, which of the following statements best describes the relationship between the relative risk estimate ( RR_hat ) and the odds ratio estimate (OR_hat ), both based on the same two samples from populations A and B? OR_hat = 1/RR_hat RR_hat and OR_hat may differ in value, but will show the same direction of association. O If RR_hat is greater than 1, then OR_hat will be less than 1. RR_hat and OR_hat will always be equal in value.

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Contingency Table

A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.

Binomial Distribution

Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.