1. Probability models Definition_______ Example_______ a. The number of desired outcomes divided by the total number of trials a/k/a relative frequency k. 2. Probability: Definition_______ Example_______ b. approximate the probability of a chance event m. Two out of every five party guests is a boy. The probability of selecting a boy's name at random is 2/5 = 0.4 = 40% 3. Experimental Probability: Definition_______ Example_______ c. A number from 0 to 1 that represents the likelihood of an event. n. 4. Theoretical probability: Definition_______ Example_______ d. Areas of geometric figures can be used as outcomes. p.
do you need some help with the definitions? the first definition fits more with experimental probability since it is talking about total desired outcomes/total trials which suggests an experiment has been done
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