Calculating Probability

Key concept

Calculating probability means working out how likely an event is. Divide the desired outcomes by the total outcomes, so 3 red balls out of 10 gives 3/10. Experimental probability estimates it by repeating an experiment.

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Explanation of probability, including the likelihood of events happening and a scale ranging from impossible (0%) to certain (100%).Explaining probability of drawing a red ball from a bag of 10 balls (3 red, 7 blue) with a probability formula and example calculation.Drawing 100 times and getting 37 red and 63 blue. Explanation of experimental probability as estimated from outcomes compared to true probability.

What Is Probability?

  • Probability tells us how likely an event is to happen.
  • It is written from 0 to 1, or to .
  • means impossible and means certain.

Calculating Probability

  • Probability equals number of desired outcomes รท total number of outcomes.
  • For example, with 3 red balls out of 10 balls, the probability of red is 3/10 or .

Experimental Probability

  • Experimental probability is used when the true probability is unknown.
  • You repeat an experiment to estimate how likely an event is.
  • The more trials you do, the closer it gets to the true probability.

Practice Questions

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Q1Easy

If you have a bag with 5 balls, 3 red and 2 blue, what is the probability of drawing a red ball?

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Interactive Activity

Explore the relationship between experimental and theoretical probability

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Probability can be written in three equivalent forms: a fraction (3/10), a decimal (0.3), or a percentage (30%). Pick the form the question asks for. To convert, divide the fraction to get the decimal, then multiply by 100 to get the percentage. All three forms describe the same chance.

The probability scale runs from 0 to 1, or from 0% to 100%. A probability of 0 means the event is impossible. A probability of 1 means the event is certain. A probability of 0.5 means the event is just as likely to happen as not. Higher values mean the event is more likely.

An outcome is one specific result you could get from a chance event, such as picking the third red ball from a bag. An event is a collection of outcomes you care about, such as drawing any red ball. So an event can contain one outcome or many outcomes from the same chance situation.

Theoretical probability uses the formula "desired outcomes divided by total outcomes" when each outcome is equally likely. Experimental probability estimates the answer by running trials and counting how often the event actually happened. Theoretical gives the exact value; experimental gives an estimate that improves with more trials.

Experimental probabilities depend on what happened during a limited number of trials, so they may not match the true probability exactly. For example, the true probabilities could be 40% red and 60% blue, while 100 trials might give 37% red and 63% blue. The more trials you run, the more accurate your estimate becomes.

Imagine a bag with 10 balls: 3 red and 7 blue. If you draw one ball at random, the probability of picking red is 3 out of 10, or 30%. This simple bag example shows how counting desired outcomes and total outcomes gives a clear probability you can express as a fraction, decimal, or percentage.

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