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5 Written questions
5 Matching questions
 quantitative variable
 uniform histogram
 mutually exclusive
 conditional probability
 raw data
 a unprocessed data
 b events that cannot occur together
 c has same frequency for each class
 d prob. of one event given another already occurred
 e variable can be measured numerically
5 Multiple choice questions
 survey of elements of sample
 random variable that assumes any value
 the portion of population studied
 very small/large values relative to majority
 data presented in frequency distribution
5 True/False questions

classical probability → all events have equally likely outcomes

skewed histogram → Tail of one side of graph is larger than other

mode → middle number

simple event → event with more than one outcome

combinations (nCx) → number of ways x can be selected from n