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According to the Law of Large Numbers, what is the relationship between experimental and theoretical probability, or is there one at all? If you repeat an experiment many many times, you would expect: Select one or more: a. experimental probability to get further away form the theoretical probability. b. there to be no distinct pattern in the relationship between the experimental probability and theoretical probability. c. the experimental probability to never change. d. experimental probability to get closer and closer to the theoretical probability. Check

Ask by Reed Cole. in the United States
Feb 03,2025

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Answer

As you perform an experiment many times, the experimental probability will get closer to the theoretical probability.

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According to the **Law of Large Numbers**, as the number of trials in an experiment increases, the **experimental probability** (also known as the relative frequency) will tend to get closer to the **theoretical probability** (the probability predicted by theory). Let's evaluate each option: a. **Experimental probability to get further away from the theoretical probability.** - **Incorrect.** The Law of Large Numbers states the opposite; the experimental probability converges toward the theoretical probability. b. **There to be no distinct pattern in the relationship between the experimental probability and theoretical probability.** - **Incorrect.** There is a distinct pattern of convergence as more trials are conducted. c. **The experimental probability to never change.** - **Incorrect.** The experimental probability can fluctuate with each trial, especially in the short term, but it stabilizes as more trials are conducted. d. **Experimental probability to get closer and closer to the theoretical probability.** - **Correct.** This is a direct consequence of the Law of Large Numbers. **Correct Answer:** **d. experimental probability to get closer and closer to the theoretical probability.**

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The Law of Large Numbers states that as the number of trials in an experiment increases, the experimental probability (the actual results of your experiment) will get closer to the theoretical probability (the expected result based on probability theory). So, choice ‘d’—experimental probability to get closer and closer to the theoretical probability—is the correct answer! In practical terms, think of flipping a coin. If you only flip it a few times, you might get heads far more often than tails, leading to a skewed experimental probability. However, if you flip that coin thousands of times, the number of heads and tails will even out, aligning closely with the theoretical probability of 50% heads and 50% tails. This interesting pattern illustrates the beauty and reliability of probability in the long run!

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