Graysyn Norris' chapter 5 vocab.

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Across
  1. 3. A and B says that P(A or B)= P(A)+P(B)
  2. 4. the probability that events A and B both occur can be found using the general multiplication rule P(B) Ac)=p(B)
  3. 8. list of all possible outcome
  4. 10. it consists of all outcomes that are in event A or event B or both and both is denoted
  5. 11. the notation nPr represents the number of different permutations of r individuals selected
  6. 13. you can calculate the number of permutations of n individuals taken r at a time (where r less than n) using the multiplication counting principle or with the formula
  7. 14. a combination is a set of individuals chosen from some group in which the order of selection does not matter
  8. 16. says that P(A or B) = P(A)+ P(B) - P(A) and B)
  9. 17. if knowing wheather or not one event has occured does not change the probability that the other event will happen
  10. 18. a permutation is a distinct arrangement of some group of individuals where older matters
  11. 19. for any positive integer n, we define n
  12. 20. two events A and B are mutually exclusive if they have no outcomes in common and so cannever occur together that is if P(A and B)=0
Down
  1. 1. if A and B are independent events the probability that A and B both occur is P(A and B)= P(A)-P(B)
  2. 2. you can calculate the number of combinations
  3. 5. for a process involving multiple (r) steps suppose that there are n ways to do step 1 n2 ways to do step 2 and n ways to do step r.
  4. 6. Ac is the complement of event A- that is the event that A does not happen
  5. 7. consists of one or more circles surrounded by a rectangle each circle represents an event
  6. 9. imitates a chance process in a way that accurately models real world outcomes
  7. 12. the probability that one event happens given that another event is known to have happened is called a conditional probability
  8. 15. shows the sample space of a chance process involving multiple stages