Probability chapter 10 Flashcards
Random experiment
Any repeatable action with a collection of clearly defined outcomes that cannot be predicted with certainty. EG: An ordinary dice is thrown once
Sample space
collection of all possible outcomes of the experiment.
Total probability associated with a sample space is 1
events
Groups of outcomes within sample space
Mutually exclusive
If A and B are mutually exclusive, p(A or B) = P(A)+P(B).
They cannot occur together. EG; you cant roll a dice and get a 5 and 6 . P(A) x P(B) = 0
Exhaustive
No other outcome exists.
P(A)’= 1 - P(A)
Two events A and B are independent
If A and B are independent P(A and B) = P(A) x P(B)
To solve a probability question
1) Identify mutually exclusive events + use the addition rule
2) Identify independent events and use the , multiplication rule
3) For unknown probabilities, consider using the “probabilities total 1” result
To solve problem involving the binomial distribution
1) Check the conditions for a binomial distribution are met. List any assumptions
2) Identify random variable and the corresponding values of n and p
3) Calculate probabilities using the addition and multiplication rules if necessary
4 Conditions needed for binomial distribution
1) Two possible outcomes in each trial
2) Fixed number of trials
3) Independent trials
4) Independent trials (p is the same for each trial)
Binomial equation
P(X=x) = nCx p^x(1-p)^n-1
is fair?
For fair dice p(sum of scores) =1/12