hat is the law of large numbers? As the sample size decreases, the relative frequency of outcomes gets closer to the theoretical probability of the outcome. As the sample size increases, the cumulative frequency of outcomes gets closer to the theoretical probability of the outcome. As the sample size increases, the relative frequency of outcomes gets closer to the theoretical probability of the outcome. As the sample size increases, the relative frequency of outcomes moves further from the theoretical probability of the outcome.

C

Step-by-step explanation:

- In the long run, as the sample size increases and increases, the relative frequencies of outcomes get closer and closer to theoretical (or actual) probability value.

- The relative frequency of an event is defined as the number of times that the event occurs during experimental trials, divided by the total number of trials conducted.

- The relative frequency is not a theoretical quantity, but an experimental one. We have to repeat an experiment a number of times and count how many times the outcome of the trial is in the event set. Because it is experimental, it is possible to get a different relative frequency every time that we repeat an experiment.

- The relative frequency depends on the sequence of outcomes that we observe while doing a statistical experiment. The relative frequency can be different every time we redo the experiment. The more trials we run during an experiment, the closer the observed relative frequency of an event will get to the theoretical probability of the event.