StackedML
Practice
Labs
Questions
Models
Pricing
Sign in
Questions
/
Probability & Statistics
/
Core Probability
/
Law of total probability
← Previous
Next →
447.
Law of Total Probability
easy
Which of the following best describes the Law of Total Probability?
A
P(A) can be computed by summing P(A ∩ Bᵢ) over all mutually exclusive and exhaustive events Bᵢ
B
P(A) can be computed by dividing the joint probability by the sum of all priors
C
P(A) is the average of P(Bᵢ | A) weighted by the number of partitions
D
P(A) equals the product of all conditional probabilities P(A | Bᵢ) across all partitions
Sign in to verify your answer
← Back to Questions