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Amitola Nwosu

1 year ago

How does the inclusion of non-binary events affect the calculation of overall probability in a sample space?

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6 Comments

Discussion

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Aarav Patel
1 year ago

When non-binary events are included in a sample space, the calculation of overall probability must take into account the various possible outcomes that are not limited to 'success' or 'failure'. In situations involving non-binary events, the total probability is the sum of the probabilities of all possible outcomes, which must equal 1. This requires a more complex approach than binary event probability calculation. Here is an example:

Consider a dice game where you can roll any number between 1 to 6, and each roll is an independent event. The probability of rolling any specific number (e.g., a 3) is 1/6. However, if you're calculating the probability of rolling an odd number, you must consider the outcomes 1, 3, and 5, making the probability 3/6 or 1/2.

For further reading on calculating probabilities with non-binary events, you can refer to this Khan Academy topic on probability.

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Amitola Nwosu
1 year ago

Thank you for providing such a clear and comprehensive answer to my question!
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Emran Raj Jha
1 year ago

This explanation makes it much easier to understand non-binary events in probability. Thanks for the example with the dice game!
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Kanika Sama
1 year ago

Oh, this sheds a lot of light on a topic my stats book didn't go into much detail about. Appreciate it!
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Aarti Naidu
1 year ago

I always found calculating probabilities quite challenging, but this breakdown was helpful.
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Sophia Thomas
11 months ago

That Khan Academy resource is a gem. I've used it before for brushing up on my probability skills.
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Krishna Yadunandan George
11 months ago

Great answer indeed! I wonder if there's a significant difference in approach when dealing with dependent versus independent events?
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