Skip to main content
뒤로

Multiplication Rule: Dependent Events definitions

컨트롤 버튼이 '내비게이션' 모드로 변경되었습니다.
1/15
  • Dependent Events
    Situations where the outcome of one occurrence influences the likelihood of another happening.
  • Independent Events
    Occurrences where the result of one has no effect on the probability of the other.
  • Conditional Probability
    Likelihood of an outcome, calculated under the assumption that another event has already occurred.
  • Multiplication Rule
    Method for finding the probability of two events by multiplying relevant probabilities, adjusted for dependence.
  • Probability Formula
    Expression used to compute the chance of combined events, often involving multiplication and conditional terms.
  • Survey
    Collection of data from a group, often used to determine probabilities in real-world scenarios.
  • Double Major
    Status of a student who fulfills requirements for two distinct academic fields simultaneously.
  • Numerator
    Top part of a fraction representing the count of favorable outcomes in probability calculations.
  • Denominator
    Bottom part of a fraction indicating the total number of possible outcomes in probability.
  • Vertical Line Notation
    Symbol used to denote conditional probability, read as 'given' between two events.
  • Real-World Application
    Use of probability concepts to solve practical problems outside academic settings.
  • Event A
    The occurrence that is assumed or known to have happened when calculating conditional probabilities.
  • Event B
    The outcome whose probability is being determined, often dependent on another event.
  • Replacement
    Process of returning an item to its original set after selection, affecting event independence.
  • Without Replacement
    Selection method where chosen items are not returned, causing subsequent probabilities to change.