The method of collecting primary data where the informant is contacted through telephone is called: MCQ with Answer and Explanation

Explanation:
In Bayesian inference, P(A) is the prior probability, representing initial belief about hypothesis A before observing evidence B; P(A|B) is the updated posterior probability.

Explanation:
By definition, the mode represents the most probable or most frequent outcome.

Explanation:
Using Bayes: P(Disease|Positive) = [Sensitivity × Prevalence] / [Sensitivity×Prev + (1-Specificity)×(1-Prev)] = (0.95×0.01) / (0.95×0.01 + 0.10×0.99) = 0.0095 / (0.0095 + 0.099) = 0.0095/0.1085 ≈ 0.0876 ≈ 8.7%. Highlights low positive predictive value when prevalence is low.