Binomial Problem: I Don't Understand i=6

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In summary, a binomial problem involves two outcomes, with a constant probability for each outcome. The formula for solving such a problem is (x + y)^n, where x and y represent the probabilities of success and failure, and n represents the number of trials. In a binomial problem, i represents the number of successes being considered, and the formula can be used to find the probability of a specific outcome. Compared to a multinomial problem, which involves more than two outcomes, binomial problems are simpler to solve but have many real-world applications in fields such as statistics, economics, biology, and psychology.
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nacho-man
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please refer to attached image

I don't understand the reasoning for i=6

since a qualified candidate must have answered 15+ questions correctly, we have
i being summed from 15 to 20 for the first part.

shouldn't the second part be summed from i=15 to 20?

for example, $(20,6)$ would imply, 6 successes, and 14 failures in a question. This would make a candidate unsuccessful by the quiz and, would give us $P(A^c|Q^c)$ instead of $P(A|Q^c)$ ?
 

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Hello,

Thank you for your question. I understand your confusion about the reasoning for i=6 in the formula shown in the attached image. Let me provide some clarification.

Firstly, the formula shown in the image is the formula for conditional probability, specifically $P(A|Q^c)$, which represents the probability of event A occurring given that event Q does not occur. In this context, event A represents a candidate being qualified for a quiz and event Q represents a candidate answering less than 15 questions correctly.

Now, let's break down the formula. The summation symbol $\sum$ indicates that we are summing up the probabilities of all possible outcomes for the given scenario. In this case, we are summing up the probabilities of all possible combinations of successes and failures, represented by i and j respectively.

The first part of the formula, $\sum_{i=15}^{20} \binom{20}{i}(0.8)^i(0.2)^{20-i}$, represents the sum of probabilities for all combinations where the candidate answers 15 or more questions correctly, which is the minimum requirement for a candidate to be qualified. This is why the summation starts at i=15, as we are only considering combinations where i (number of successes) is equal to or greater than 15.

Now, the second part of the formula, $\sum_{i=6}^{14} \binom{20}{i}(0.8)^i(0.2)^{20-i}$, represents the sum of probabilities for all combinations where the candidate answers less than 15 questions correctly. This is where the i=6 comes in. Since we are only considering combinations where the candidate has less than 15 successes, the value of i starts from 6, as this is the minimum number of successes needed for the candidate to be considered unsuccessful.

In summary, the formula is correct as it is written and the second part should indeed be summed from i=6 to 14. I hope this helps to clarify the reasoning behind the formula. Let me know if you have any further questions or concerns. Thank you.


 

FAQ: Binomial Problem: I Don't Understand i=6

What is a binomial problem?

A binomial problem is a type of mathematical problem that involves two outcomes, often referred to as "success" and "failure". These outcomes are independent of each other and the probability of each outcome remains constant throughout the problem. The formula for solving a binomial problem is (x + y)^n, where x and y represent the probabilities of success and failure, and n represents the number of trials or events.

What does i=6 mean in a binomial problem?

In a binomial problem, i represents the number of successes that are being considered. In this case, i=6 means that the problem is asking for the probability of getting exactly 6 successes out of a certain number of trials or events.

How do you solve a binomial problem?

To solve a binomial problem, you can use the formula (x + y)^n, where x and y represent the probabilities of success and failure, and n represents the number of trials or events. Plug in the values for x, y, and n, and then solve the equation to find the probability of the desired outcome.

What is the difference between a binomial problem and a multinomial problem?

The main difference between a binomial problem and a multinomial problem is the number of outcomes that are being considered. In a binomial problem, there are only two outcomes (success and failure), while in a multinomial problem, there are more than two outcomes. This means that the formula for solving a multinomial problem is more complex and involves more variables.

Why is it important to understand binomial problems?

Understanding binomial problems is important because they can be used to solve real-world problems and make predictions. For example, binomial problems can be used in statistics to analyze data and make inferences about a population. They are also commonly used in fields such as economics, biology, and psychology to study and understand various phenomena.

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