Probability - ANSWERSThe likelihood that an outcome occurs
Experiment - ANSWERSThe process that results in an outcome
Outcome - ANSWERSResult of an experiment that can be observed
Sample space - ANSWERSThe collection of all possible outcomes of an experiment
Event - ANSWERSA collection ...
Probability - ANSWERSThe likelihood that an outcome occurs
Experiment - ANSWERSThe process that results in an outcome
Outcome - ANSWERSResult of an experiment that can be observed
Sample space - ANSWERSThe collection of all possible outcomes of an experiment
Event - ANSWERSA collection of one or more outcomes from a sample space
Complement of an event - ANSWERSAll possible outcomes that are not in the event
Union of events - ANSWERSIf the notation (A and B) represents the intersection of events A and B, the
collection of all outcomes that belong to either A or B or to both A and B
Non-mutually exclusive events - ANSWERSIf the notation (A and B) represents the intersection of events
A and B, the collection of all events that belong to both A and B
Combinations - ANSWERSUnique outcomes that must be counted when order does not matter
Permutations - ANSWERSThe outcomes that are counted when order does matter
Classical definition of probability - ANSWERSIf the process that generates the outcome is known,
probabilities can be deduced from theoretical arguments
, Relative frequency definition of probability - ANSWERSProbabilities are based on empirical data; the
probability is simply the relative frequency associated with that outcome
Subjective definition of probability - ANSWERSProbabilities are based on judgment and experience
Joint probability - ANSWERSThe probability of the intersection of two events
Marginal probability - ANSWERSThe probability of an event irrespective of the outcome of the other
joint event
Conditional probability - ANSWERSThe probability of occurrence of one event A, given that another
event B is known to be true or has already occurred
Continuous random variable - ANSWERSA random variable that may have outcomes over one or more
continuous intervals or real numbers
Probability distribution - ANSWERSA characterization of the possible values that a random variable may
assume along with the probability of assuming these values
Empirical probability distributions - ANSWERSProbability distribution calculated from the relative
frequencies of a data sample
Subjective distribution - ANSWERSProbability distribution specified from subjective values and expert
judgment by creating decision models for phenomena for which there is no historical data
Discrete distributions - ANSWERSProbability distribution of the discrete outcomes of a discrete random
variable
Cumulative distribution function - ANSWERSA function that specifies the probability that a random
variable is less than or equal to a specified value
The benefits of buying summaries with Stuvia:
Guaranteed quality through customer reviews
Stuvia customers have reviewed more than 700,000 summaries. This how you know that you are buying the best documents.
Quick and easy check-out
You can quickly pay through credit card or Stuvia-credit for the summaries. There is no membership needed.
Focus on what matters
Your fellow students write the study notes themselves, which is why the documents are always reliable and up-to-date. This ensures you quickly get to the core!
Frequently asked questions
What do I get when I buy this document?
You get a PDF, available immediately after your purchase. The purchased document is accessible anytime, anywhere and indefinitely through your profile.
Satisfaction guarantee: how does it work?
Our satisfaction guarantee ensures that you always find a study document that suits you well. You fill out a form, and our customer service team takes care of the rest.
Who am I buying these notes from?
Stuvia is a marketplace, so you are not buying this document from us, but from seller papersmaster01. Stuvia facilitates payment to the seller.
Will I be stuck with a subscription?
No, you only buy these notes for $15.49. You're not tied to anything after your purchase.