STATS 10 Lecture Notes - Lecture 6: Empirical Probability
Document Summary
With probability, we try to express how likely or unlikely an event is. We use probability to describe the chance of an uncertain event. The probability that a happens is pr(a) also p(a). In our course, we use the frequentist/classical view of probability (as opposed to the bayesian view of probability). Probability of an event is the long-run relative frequency of the event. If i flip the coin 10 times, i could get 5 heads out of 10. Also possible relative frequency = 0. 3, i can also get 0. 6. In the long-run (approaching infinity), the relative frequency of heads/total flips will approach 0. 5. When we say pr(heads) = 0. 5, that means in the long-run, the relative frequency approaches 0. 5. Theoretic probability: the focus of our probability chapter. When we flip a coin, both sides are equally likely. Therefore, the coin will land heads with probability = = 0. 5: we have some event a.