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Theoretical vs Experimental Probability
Theoretical probability describes what should happen in a well-defined model. Experimental probability describes what did happen in actual trials. The two are connected, but they are not identical in the short run.
What is Theoretical Probability?
Theoretical probability is the expected probability of an event calculated by mathematical reasoning about equally likely outcomes, without conducting experiments. It equals the number of favorable outcomes divided by the total number of possible outcomes.
๐ก For a fair coin, you KNOW heads is \frac{1}{2} without flipping. You calculate based on logic: 1 favorable outcome (heads) out of 2 possible outcomes. That's theoretical - it's what SHOULD happen.
What is Experimental Probability?
Experimental probability is the probability of an event estimated from actual experimental data, calculated as the number of times the event occurred divided by the total number of trials. It approaches the theoretical probability as more trials are conducted.
๐ก You flip a coin 100 times and get 53 heads. Your experimental probability is \frac{53}{100} = 0.53. It's based on what DID happen, not what should happen theoretically.
Key Differences
| Aspect | Theoretical Probability | Experimental Probability |
|---|---|---|
| Source | Mathematical reasoning from a probability model | Observed outcomes from repeated trials |
| Needs data? | No, if the model is known | Yes, it is built from collected results |
| Short-run behavior | Fixed by the model | Can fluctuate noticeably |
| Long-run relationship | Target value | Tends toward the target as trials increase |
โ ๏ธ Where People Get Stuck
- โข Expecting experimental results to match theoretical probability exactly in a small sample
- โข Using a theoretical model when the experiment is biased or the outcomes are not equally likely
- โข Assuming a surprising short-run result disproves the theoretical model immediately
- โข Forgetting that experimental probability is an estimate, not the definition
A Simple Example
A fair die is rolled 12 times and the number 6 appears 4 times.
Theoretical Probability
Theoretical probability of rolling a 6 is always 1/6 because there is 1 favorable outcome out of 6 equally likely outcomes.
Experimental Probability
Experimental probability is 4/12 = 1/3 because that is what happened in the actual 12 trials.
๐ฏ When to Use Which
Use theoretical probability when the sample space is known and outcomes are modeled as equally likely. Use experimental probability when the only evidence comes from observed trials or simulations.
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