Which statement describes the binominal data type in data mining?

• A. One value
• B. Two values
• C. Multiple values
• D. Continuous values

Answer: (B)

The key idea is binary (binomial) data, which has exactly two possible outcomes. In data mining, a binomial variable is a binary or dichotomous feature—think 0/1, true/false, or yes/no. Because there are only two distinct states, this is a discrete variable with two categories, which influences how you model and preprocess it (for example, how you encode it for algorithms).

Two values is the correct description because the other options imply different kinds of data: one value would mean no variation, which isn’t binomial; multiple values would be a multi-valued or nominal variable with more than two categories; continuous values refer to numbers on a continuum rather than two discrete states.