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The image presents a question asking for the area of the shaded region under the standard normal distribution curve, where the z-value is given as \( z = 0.29 \).

To find the area under the standard normal distribution curve to the left of \( z = 0.29 \), we need to look up the cumulative probability (also known as the cumulative distribution function, or CDF) for that \( z \)-value from the standard normal table.

### Using the Standard Normal Table:
For \( z = 0.29 \), the cumulative probability is approximately **0.6141**. 

This means that the area to the left of \( z = 0.29 \) under the standard normal curve is **0.6141**.

Thus, the area of the shaded region is approximately **0.6141** (rounded to four decimal places).

Would you like further explanation on using the standard normal table, or do you have any additional questions?

Here are 5 related questions to explore:
1. What is the area to the right of \( z = 0.29 \)?
2. How do you calculate the area between two \( z \)-scores?
3. What does the area under the standard normal curve represent in statistics?
4. How do you standardize a data point to a \( z \)-score?
5. How do you interpret a negative \( z \)-score?

**Tip:** You can always use a standard normal table or a calculator with built-in functions for quick access to cumulative probabilities!

Find the area of the shaded region. The graph depicts the standard normal distribution with mean 0 and standard deviation 1. z = 0.29.

Learn how to calculate the area of the shaded region under a standard normal distribution curve with z = 0.29. This tutorial includes using the cumulative distribution function (CDF) to find the area to the left of z = 0.29, which is approximately 0.6141.

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