This image shows a problem involving the standard normal distribution curve:

1. Part (a): You are asked to shade the region under the standard normal curve to the left of $z = -1.50$. In this case, you need to shade the area from $z = -\infty$ (far left) to $z = -1.50$, representing the cumulative probability up to that point.

2. Part (b): You need to use a table or calculator to find the area under the standard normal curve to the left of $z = -1.50$. Using a standard normal distribution table (Z-table), the cumulative probability for $z = -1.50$ is approximately 0.0668.

Thus, the area to the left of $z = -1.50$ is 0.0668.

Would you like me to explain how to read the Z-table or discuss the process in more detail?

Here are some follow-up questions:

1. What is the area under the curve for $z = 0$?
2. How do you use a Z-table to find probabilities for other Z-values?
3. What does the shaded area represent in a real-world context?
4. How is the area under the standard normal curve related to probability?
5. How would you calculate the area between two Z-values?

Tip: The total area under the standard normal curve is always 1, representing 100% probability.