Question

bayesian thinking updates probabilities using:
a. only prior information
b. neither prior information nor new evidence
c. both prior information and new evidence
d. only new evidence

Explanation:

Bayesian thinking is based on Bayes' theorem. The formula is \(P(A|B)=\frac{P(B|A)P(A)}{P(B)}\), where \(P(A)\) is the prior probability (prior information), and \(P(B|A)\) and \(P(B)\) are related to new evidence. So it updates probabilities using both prior information and new evidence.

Answer:

C. Both prior information and new evidence