To determine the relationship between the events \(A\) and \(B\), we need to analyze the provided probabilities:
Firstly, calculate \(P(A)\) using the complement rule:
\(P(A) + P(\overline{A}) = 1\)
\(P(A) = 1 - P(\overline{A}) = 1 - \frac{1}{4} = \frac{3}{4}\)
Next, use the formula for the union of two events:
\(P(A \cup B) = P(A) + P(B) - P(A \cap B)\)
Substitute the known values into the formula:
\(\frac{1}{6} = \frac{3}{4} + P(B) - \frac{1}{4}\)
Simplify to find \(P(B)\):
\(P(B) = \frac{1}{6} - \left(\frac{3}{4} - \frac{1}{4}\right) = \frac{1}{6} - \frac{2}{4} = \frac{1}{6} - \frac{1}{2} = \frac{1}{6} - \frac{3}{6} = -\frac{2}{6}\)
Since probability cannot be negative, recheck the calculations and assumptions for accuracy. Ensuring no errors in interpretion or assumption, let us verify alternatives:
The given \(P(A \cap B) = \frac{1}{4}\) suggests if \(A\) and \(B\) are independent:
Independence condition: \(P(A \cap B) = P(A) \cdot P(B)\)
Verify: \(\frac{1}{4} = \frac{3}{4} \cdot P(B)\)
Solve for \(P(B)\):
\(P(B) = \frac{1/4}{3/4} = \frac{1}{3}\)
Hence, the events are independent as the condition is satisfied.
However, the events are not equally likely as \(P(A) = \frac{3}{4}\) and \(P(B) = \frac{1}{3}\).
Therefore, the correct answer is that the events \(A\) and \(B\) are independent but not equally likely.