A meteorologist reports an 80% chance of precipitation. Is this an example of experimental probability, written as a percent? Explain your reasoning.
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No, because it has not happened yet.
Yes, because it is supported by machines and weather reports before it.
Yes, the meteorologist's report of an 80% chance of precipitation is an example of experimental probability written as a percent.
Experimental probability is determined by conducting repeated experiments or observations to see how often an event occurs. In this case, the meteorologist has likely analyzed historical weather patterns and current atmospheric conditions to make a prediction about the chance of precipitation.
To calculate the experimental probability, the meteorologist would have collected data on the occurrence of precipitation in similar weather conditions over a period of time. The percentage represents the proportion of times that precipitation has occurred in relation to the total number of observations. In this case, the meteorologist is indicating that, based on their analysis, there is an 80% chance that precipitation will occur.
It is important to note that experimental probability is based on collected data and observations, while theoretical probability is based on mathematical calculations and assumptions. The meteorologist's report represents an estimate or prediction based on real-world data, making it an example of experimental probability.