Use LEFT and RIGHT arrow keys to navigate between flashcards;
Use UP and DOWN arrow keys to flip the card;
H to show hint;
A reads text to speech;
22 Cards in this Set
- Front
- Back
|
Probability |
A value between zero and one, inclusive, describing the relative possibility (chance or likelihood) an event will occur. |
|
|
Experiment |
A process that leads to the occurrence of one and only one of several possible results. |
|
|
Outcome |
A particular result of an experiment. |
|
|
Event |
A collection of one or more outcomes of an experiment. |
|
|
Mutually Exclusive |
The occurrence of one event means that none of the other events can occur at the same time. |
|
|
Collectively Exhaustive |
At least one of the events must occur when an experiment is conducted. |
|
|
Empirical Probability |
The probability of an event happening is the fraction of the time similar events happened in the past. |
|
|
Law of Large Numbers |
Over a large number of trials, the empirical probability of an event will approach its true probability. |
|
|
Subjective Concept of Probability |
The likelihood (probability) of a particular event happening that is assigned by an individual based on whatever information is available. |
|
|
Special Rule of Addition |
P(A or B) = P(A) + P(B) |
|
|
Complement Rule |
P(A) = 1 - P(-A) |
|
|
Joint Probability |
A probability that measures the likelihood two or more events will happen concurrently. |
|
|
General Rule of Addition |
P(A or B) = P(A) + P(B) - P(A and B) |
|
|
Special Rule of Multiplication |
P(A and B) = P(A) * P(B) |
|
|
Independence |
The occurrence of one event has no effect on the probability of the occurrence of another event. |
|
|
Conditional Probability |
The probability of a particular event occurring, given that another event has occurred. |
|
|
General Rule of Multiplication |
P(A and B) = P(A) * P(B/A) |
|
|
Contingency Tables |
A table used to classify sample observations according to two or more identifiable categories or classes. |
|
|
Multiplication Formula |
Total Number of Outcomes = m * n |
|
|
Permutation |
Any arrangement of r objects selected from a single group of n possible objects. |
|
|
Permutation Formula |
nPr = n! / (n - r)! |
|
|
Combination Formula |
nCr = n! / r! (n - r)! |
