Values \[ \text { Use the Standard Normal Table or technology to find the z-score that corresponds to the cumulative area } 0.1828 \text {. } \] \( z=\square \) (Type an integer or decimal rounded to two decimal places as needed.)

To find the z-score corresponding to a cumulative area of 0.1828, you can refer to the Standard Normal Table or use technology such as a calculator that has inverse normal functions. Looking it up, you'll find that the z-score that corresponds to an area of 0.1828 is approximately \( z = -0.91 \). This means that 18.28% of the data lies below a z-score of -0.91 in a standard normal distribution. It’s a convenient way to visualize how far from the average (mean) your value is, serving as a crucial tool in statistics and probability assessments!