Probabilistic models allow scientists to:Group of answer choicesSimulate data, given assumed parameter valuesDo science by comparing how well different possible models of reality fit the given dataset.All of the other answersInfer parameter values that may describe the processes they are studyingMake predictions of future events, such as the spread of COVID-19

Probabilistic models allow scientists to do all of the mentioned tasks.

1. Simulate data, given assumed parameter values: Probabilistic models can be used to generate data that might be observed in the future, given certain assumptions about the parameters of the model.

2. Do science by comparing how well different possible models of reality fit the given dataset: Scientists can use probabilistic models to compare different hypotheses or theories about the world. By comparing how well these models fit the observed data, scientists can determine which model is most likely to be correct.

3. Infer parameter values that may describe the processes they are studying: Probabilistic models can be used to estimate the values of parameters that describe the processes under study. These parameters might include, for example, the rate of spread of a disease or the average size of an animal population.

4. Make predictions of future events, such as the spread of COVID-19: Probabilistic models are often used in forecasting, where the goal is to predict future events or trends. For example, scientists have used probabilistic models to predict the spread of COVID-19, based on various assumptions about the disease's transmission rate and other factors.

So, the answer is "All of the other answers".