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To find \( P(Z < -1.32) \), we use the standard normal distribution table, which provides the area (probability) to the left of a given z-score. 

Looking up the value of \( Z = -1.32 \) in the z-table:

1. The first two digits are "-1.3".
2. The next digit is "2".

From the table, \( P(Z < -1.32) = 0.0934 \).

Thus, the correct answer is **0.0934**.

Would you like more details or have any questions?

Here are 5 related questions to expand your knowledge:

1. What does a negative z-score represent in a standard normal distribution?
2. How do you find \( P(Z > -1.32) \) using the z-score table?
3. What is the area under the curve for \( P(Z < 0) \)?
4. How do you calculate z-scores given a data point, mean, and standard deviation?
5. What is the significance of a z-score of 1.96 in statistics?

**Tip:** The total area under the standard normal curve is always 1, so probabilities can be found using the complement if needed.

Learn how to find the probability P(Z < -1.32) using the Z-score and standard normal distribution table. This problem involves key concepts of probability and Z-scores, suitable for students in Grades 11-12 or introductory college-level statistics.

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