Empirical probability is data that is based on historical data. Also called experimental probability. Theoretical probability is what we expect to happen and is the theory behind probability. An example of empirical probability is a coin toss. The probability of getting tails is half. Say that a coin was tossed 50 times. It lands on heads 27 times and tails 23 times. The empirical probability is 27%. The coin has landed on heads 27% of the time so far based on the data. The empirical probability changes when and if the data changes. The more data there is the more trustworthy the outcome will be. This is an example of empirical probability because you can calculate the probability by looking at the outcome of the experiment.
Is there a way to change their scenario to make it a theoretical probability situation? Explain your answer.
