Assume the annual day care cost per child is normally distributed with a mean of $9000 and a standard deviation of $1300. What percent of day care costs are more than $8800 annually? Click here to view page 1 of the standard normal distribution table. Click here to view page 2 of the standard normal distribution table. O % (Round to two decimal places as needed.)

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**Understanding Annual Day Care Costs Using Normal Distribution**

Assume that the annual day care cost per child is normally distributed. The mean cost is $9000, and the standard deviation is $1300. We aim to determine what percentage of day care costs are more than $8800 annually.

To assist in this calculation, refer to the standard normal distribution tables linked below:

- [View Page 1 of the Standard Normal Distribution Table](#)
- [View Page 2 of the Standard Normal Distribution Table](#)

**Calculation Instructions:**

To find the percentage, use the Z-score formula:

\[ Z = \frac{(X - \mu)}{\sigma} \]

- \( X \) = $8800
- \( \mu \) (mean) = $9000
- \( \sigma \) (standard deviation) = $1300

After computing the Z-score, use the standard normal distribution table to find the corresponding percentage.

**Enter your result:**

\[ \_\_\_\_\% \] (Round to two decimal places as needed.)
Transcribed Image Text:**Understanding Annual Day Care Costs Using Normal Distribution** Assume that the annual day care cost per child is normally distributed. The mean cost is $9000, and the standard deviation is $1300. We aim to determine what percentage of day care costs are more than $8800 annually. To assist in this calculation, refer to the standard normal distribution tables linked below: - [View Page 1 of the Standard Normal Distribution Table](#) - [View Page 2 of the Standard Normal Distribution Table](#) **Calculation Instructions:** To find the percentage, use the Z-score formula: \[ Z = \frac{(X - \mu)}{\sigma} \] - \( X \) = $8800 - \( \mu \) (mean) = $9000 - \( \sigma \) (standard deviation) = $1300 After computing the Z-score, use the standard normal distribution table to find the corresponding percentage. **Enter your result:** \[ \_\_\_\_\% \] (Round to two decimal places as needed.)
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