Create an image depicting a wedding scene with a sense of anticipation and excitement. Use elements that imply a large gathering, such as rows of empty chairs, decorated banquet tables, a beautiful wedding arch adorned with flowers. Add a box of exquisite wedding invitations off to one side, with a couple - Julian, a White man, and Brittany, a Hispanic woman, counting the invitations and looking expectantly. Note that there should be no text in the image itself.

Julian and Brittany mailed 275 wedding invitations to family and friends and predicted that they would all attend. Only 265 out of 275 people committed to attending the wedding. Calculate the percent error in their prediction. Round your answer to the nearest hundredth percent. (1 point)

O 0.038%

O -4.00%

O 3.77%

3.636

To calculate the percent error, we need to take the difference between the predicted number of attendees and the actual number of attendees, divide that by the predicted number, and then multiply by 100.

The predicted number of attendees is 275.
The actual number of attendees is 265.

|275 - 265| / 275 * 100 = 10 / 275 * 100 ≈ 3.64%

Rounding to the nearest hundredth percent, the percent error is approximately 3.64%. Therefore, the correct answer is "O 3.77%".

To calculate the percent error in this case, you need to find the difference between the predicted and actual values, divide it by the actual value, and then multiply by 100 to obtain a percentage.

First, find the difference between the predicted and actual values:
Predicted value - Actual value = 275 - 265 = 10

Then, divide the difference by the actual value:
10 / 265 = 0.0377368

Finally, multiply by 100 to get the percentage:
0.0377368 * 100 ≈ 3.77%

Therefore, the answer is 3.77%, which corresponds to option C.

To calculate the percent error, you can use the formula:

Percent Error = (|Predicted Value - Actual Value| / Actual Value) * 100

In this case, the predicted value is 275 and the actual value is 265.

Percent Error = (|275 - 265| / 265) * 100
Percent Error = (10 / 265) * 100
Percent Error ≈ 3.77%

Therefore, the percent error in their prediction is approximately 3.77%.