Standard(s):
[MA2019] REG-7 (7) 14 : 14. Define and develop a probability model, including models that may or may not be uniform, where uniform models assign equal probability to all outcomes and non-uniform models involve events that are not equally likely.
a. Collect and use data to predict probabilities of events.
b. Compare probabilities from a model to observed frequencies, explaining possible sources of discrepancy.
[MA2019] REG-7 (7) 15 : 15. Approximate the probability of an event using data generated by a simulation (experimental probability) and compare it to the theoretical probability.
a. Observe the relative frequency of an event over the long run, using simulation or technology, and use those results to predict approximate relative frequency.
[MA2019] REG-7 (7) 16 : 16. Find probabilities of simple and compound events through experimentation or simulation and by analyzing the sample space, representing the probabilities as percents, decimals, or fractions.
a. Represent sample spaces for compound events using methods such as organized lists, tables, and tree diagrams, and determine the probability of an event by finding the fraction of outcomes in the sample space for which the compound event occurred.
b. Design and use a simulation to generate frequencies for compound events.
c. Represent events described in everyday language in terms of outcomes in the sample space which composed the event.