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.
The error in their prediction is 275 - 265 = <<275-265=10>>10 people.
The percentage error is then (10 / 275) * 100% = 3.64%. Answer: \boxed{3.64}.
To calculate the percent error in Julian and Brittany's prediction, we need to find the difference between the predicted number of attendees and the actual number of attendees, and then express that difference as a percentage of the predicted number.
First, let's find the difference:
Predicted number of attendees: 275
Actual number of attendees: 265
Difference = Predicted number - Actual number = 275 - 265 = 10
Next, we need to express this difference as a percentage of the predicted number:
Percent Error = (Difference / Predicted number) * 100
Percent Error = (10 / 275) * 100 ≈ 3.636
Rounding to the nearest hundredth percent, the percent error in Julian and Brittany's prediction is approximately 3.64%.
To calculate the percent error in their prediction, we need to find the difference between the predicted number of attendees and the actual number of attendees, and then divide that difference by the predicted number of attendees. Finally, we multiply the result by 100 to get the percentage.
Predicted number of attendees = 275
Actual number of attendees = 265
Difference = Predicted number of attendees - Actual number of attendees = 275 - 265 = 10
Percent error = (Difference / Predicted number of attendees) * 100 = (10 / 275) * 100 = 0.0364 * 100 = 3.64%
Therefore, the percent error in their prediction is 3.64%.