You are likely referring to a problem involving the probability of a random variable \( X \) being greater than 240, where this probability is less than 0.01:

\[
P(X > 240) < 0.01
\]

To solve or interpret this, I would need more information about the distribution of \( X \). For example, is \( X \) normally distributed, and what are its mean \( \mu \) and standard deviation \( \sigma \)? If \( X \) follows a normal distribution, we could find the value of \( X \) that satisfies the condition using the z-score formula:

\[
Z = \frac{X - \mu}{\sigma}
\]

Please provide the distribution details or any relevant data, and I can help further.

Do you want more details or have any questions?

Here are 5 related questions you might consider:

1. What is the distribution of \( X \) in this problem?
2. Do you know the mean and standard deviation of \( X \)?
3. Is this a one-tailed or two-tailed probability problem?
4. Are you interested in solving for a critical value or threshold?
5. How does this probability fit into a larger statistical problem you're working on?

**Tip:** In probability problems, specifying the distribution is key to applying the correct formulas. Always look for whether the problem mentions a normal, binomial, or other type of distribution.

Explore how to solve the probability problem P(X > 240) < 0.01 using concepts of normal distribution and Z-scores. Learn the steps to interpret the condition by understanding the distribution, mean, and standard deviation. Suitable for students in Grades 10-12.

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