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Give an example of an event whose probability must be determined empirically rather than theoretically.

Short Answer

Expert verified
An example of an event whose probability must be determined empirically is predicting weather conditions for a certain day.

Step by step solution

01

Understand The Difference Between Theoretical And Empirical Probability

Theoretical probability is the probability determined through reasoning and mathematical calculations. It is used when each outcome in a sample space is equally likely to occur. Empirical probability, on the other hand, is based on actual experiments and adequate records of the occurrence of events. This type of probability is determined by observing data that was collected over a period of time.
02

Finding Appropriate Example

An event that is best determined through empirical probability could be a real life situation where outcomes rely on real-time data and previous results rather than a fixed mathematical formula. It's important that the selected event should lack a predetermined number of outcomes.
03

Proposal of An Example

An example of such event could be predicting the weather. Despite there being scientific methods and models for predicting weather patterns, the probability of a particular kind of weather (such as rain, snow, etc.) happening on a certain day isn't fixed and is best determined through the collection and analysis of empirical data collected over time.

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