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Name Class Date Math 7 Probability Lab Ms. Marchisotto Theoretical vs. Experimental Probability Theoretical probability is the mathematical probability that something will happen. It's what should
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To fill out the theoretical vs experimental probability, you first need to understand the definitions of both terms. Theoretical probability refers to the likelihood of an event happening, based on mathematical calculations and assumptions. Experimental probability, on the other hand, is determined by conducting experiments or trials to observe the actual outcomes and calculating the probability based on the results obtained.
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Start by identifying the event or outcome for which you want to determine the probability. This could be something like flipping a coin and getting heads, rolling a dice and getting a specific number, or drawing a card from a deck and getting a certain suit.
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For theoretical probability, consider the total number of outcomes for the event and the number of favorable outcomes. This can be calculated by dividing the number of favorable outcomes by the total number of possible outcomes. For example, if you want to find the theoretical probability of getting heads when flipping a fair coin, the total number of outcomes is 2 (heads or tails) and the number of favorable outcomes is 1 (heads). Therefore, the theoretical probability would be 1/2 or 0.5.
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To find the experimental probability, you need to perform a series of trials and record the actual outcomes. For example, if you want to determine the experimental probability of rolling a 4 on a standard six-sided dice, you would roll the dice several times and tally the number of times you get a 4. Divide the number of times you get a 4 by the total number of trials to calculate the experimental probability. For instance, if you rolled the dice 40 times and got a 4 ten times, the experimental probability would be 10/40 or 0.25.
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Both theoretical and experimental probability have their own uses. Theoretical probability is often used in mathematics and statistics to solve problems and make predictions, while experimental probability is useful in real-life situations where actual trials or experiments can be conducted to determine the likelihood of an event occurring.
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Anyone who deals with probability, statistics, or making predictions can benefit from understanding theoretical vs experimental probability. This includes mathematicians, statisticians, researchers, scientists, and even individuals making decisions based on probabilities, such as in gambling or risk management.
In conclusion, filling out theoretical and experimental probability involves understanding the definitions, identifying the event, calculating the probabilities using different approaches, and considering their respective applications. This knowledge can be valuable for various professionals and individuals who work with probabilities and statistics.
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Theoretical probability is calculated based on mathematical principles and assumptions, while experimental probability is determined through actual experimentation or observation.
Anyone studying or using probability theory may need to understand both theoretical and experimental probability in order to make predictions or decisions based on chance.
Theoretical probability can be calculated using formulas and mathematical principles, while experimental probability can be determined through repeated trials or observations.
The purpose of theoretical probability is to make predictions based on mathematical principles, while experimental probability is used to estimate the likelihood of an event based on real-world data.
Theoretical probability typically involves reporting calculated probabilities based on mathematical formulas, while experimental probability may involve reporting observed frequencies or outcomes.
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