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Flashcards

RS1 Unit 3 Flashcards

Eric Guo Statistics 9th grade English 32 cards

Cards in this deck (32)

  1. 1Addition RuleP(A or B) = P(A) + P(B) - (A and B)
  2. 2Addition Rule for Mutually Exclusive EventsP(A or B) = P(A) + P(B) Alternate notation: P(A or B) = P(A ∪ B)
  3. 3CombinationA way of selecting several things out of a larger group, WHERE ORDER DOES NOT MATTER
  4. 4Combination RuleC(n, r) = nCr = n! / r!(n - r)!
  5. 5Complement RuleThe probability that an even does not occur; 1 - P(A)
  6. 6Complementary Eventsmutually exclusive events whose probabilities sum to 1
  7. 7Conditional Probabilitythe probability that an even, B, will occur given that another event, A, has already occured
  8. 8Conditional Probability RuleP(F|E) = P(F ∩ E) / P(E)
  9. 9Cumulative Relative Frequencythe cumulative proportion or the running total of frequencies
  10. 10Dependent Eventswhen the occurrence of one event affects the occurence of a second event
  11. 11Empirical Estimate of Probability(often just written Empirical Probability) an "estimate" that the event will happen based on how often the event occurs after collecting data or running an expierement (in a large number of trials). It is based specifically on direct observations or experiences
  12. 12Equally Likely Outcomesoutcomes that occur with the same probability; i.e., landing on heads or tails on a fair coin toss are equally likely outcomes
  13. 13Eventa subset of a sample space
  14. 14Experimental Estimate of Probabilitythe probability of an event occuring when an experiement was conducted
  15. 15Factorial (n!)n! = n(n-1)(n-2) ... 3(2)(1)
  16. 16Fundamental Counting Principleif event M can occur in m ways and is followed by event N that can occur in n ways, then event M followed by event N can occur in m*n ways
  17. 17Independent Eventswhen the occurrence of one event DOES NOT affect the occurence of a second event
  18. 18Intersectionthe intersection of A ∩ B of two sets A and B is the set that contains all elements of A that also belong to B (or equivalently, all elements of B that also belong to A), but no other elements
  19. 19Multiplication RuleP(F∩E) = P(E)*P(F|E)
  20. 20Multiplication Rule for Independent EventsP(E∩F) = P(E) * P(F) if and only if A and B are independent events
  21. 21Mutually Exclusive Eventsevents that cannot occur at the same time; also called disjoint events
  22. 22Outcomea possible result from a probability experiment
  23. 23PermutationA way of selecting several things out of a larger group, WHERE ORDER DOES MATTER
  24. 24Permutation RuleP(n, r) = nPr = n! / (n-r)!
  25. 25Probabilitylikelihood that an event will occur and is calculated by dividing the number of favorable outcomes by the total number of possible outcomes
  26. 26Random Process (Chance Experiment)any activity or situation in which there is uncertainty about which of two or more possible outcomes will result
  27. 27Random Variablethe numerical outcome of a random phenomenon
  28. 28Sample Spacethe set of all possible outcomes in an experiment
  29. 29Theoretical (Exact) Probabilitya ratio of the number of favorable outcomes to the number of possible outcomes
  30. 30Trialthe single performance of an experiment
  31. 31Unioneverything in both sets
  32. 32zero factorialone

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2022-2023
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Eric Guo
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