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It looks like you've provided an image of the **standard normal (Z) table**, which lists the cumulative probabilities associated with Z-scores under a standard normal distribution.

The standard normal table helps find the probability of a value lying below a given Z-score. In your specific example:

- To find the area/probability for a Z-score of -0.90, you’d look up the Z-score in the table. For Z = -0.90, you'd find the corresponding value in the row and column intersection that represents -0.9.
- Using this value, you can determine the probability below Z = -0.90 (or the probability to the left of Z = -0.90 on the standard normal curve).

Would you like me to help locate this value specifically, explain how to interpret it, or use it in a specific context?

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Here are five related questions that expand on this topic:

1. How do you calculate the probability for a Z-score range, such as between Z = -0.90 and Z = 0.90?
2. What is the probability above a specific Z-score, such as Z = 1.2?
3. How would you use the Z-table to find probabilities for Z-scores that aren't listed directly?
4. Can you explain the significance of Z-scores in hypothesis testing?
5. How do you interpret values at the extreme ends of the Z-table (e.g., Z > 3.5)?

**Tip**: When working with Z-tables, remember that values given are cumulative probabilities from the far left up to the specific Z-score.

Find the percent of area under a normal curve between the mean and the given number of standard deviations from the mean, specifically for Z = -0.90.

Learn how to find the cumulative probability for a Z-score of -0.90 using the standard normal distribution table. This concept is essential for understanding probabilities and areas under a normal curve, suitable for high school students.

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