To solve this, we need to calculate two areas under the standard normal curve:

1. The area to the left of $z = -0.88$
2. The area to the right of $z = 0.88$

The total area under the standard normal curve equals 1 (or 100%).

1. Area to the left of $z = -0.88$

From standard normal distribution tables or using a calculator, the cumulative probability to the left of $z = -0.88$ is approximately 0.1894.

2. Area to the right of $z = 0.88$

The cumulative probability to the left of $z = 0.88$ is 0.8106. So, the area to the right of $z = 0.88$ is:

$1 - 0.8106 = 0.1894$

Total Area

Since the areas to the left of $z = -0.88$ and to the right of $z = 0.88$ are equal, we can calculate the total area by summing these two areas:

$\text{Total Area} = 0.1894 + 0.1894 = 0.3788$

Thus, the total area under the standard normal curve to the left of $z = -0.88$ and to the right of $z = 0.88$ is approximately 0.3788.

Would you like more details or have any questions about the steps?

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Here are five related questions you might find helpful:

1. What is the area between two z-scores, like between $z = -1$ and $z = 1$?
2. How do you calculate the area under the normal curve for any given z-value?
3. How does the symmetry of the normal distribution simplify these types of problems?
4. Can you find the area for z-values beyond 3 standard deviations?
5. How do z-scores relate to probabilities in a normal distribution?

Tip: Using a z-table or calculator is a quick way to find cumulative areas under the normal curve.