A photography club would like to raise money for a local health organization by selling popcorn. The club predicts they need to sell 250 bags of popcorn to reach their goal. At
the end of the fundraiser, they sold 266 bags of popcorn and met their goal What is the percent error? Round the answer to the nearest whold number. point
To find the percent error, we need to compare the predicted value (250 bags) with the actual value (266 bags) and calculate the difference.
The difference between the predicted value and the actual value is 266 - 250 = 16.
To find the percent error, divide the difference by the predicted value and multiply by 100:
Percent error = (16 / 250) * 100 = 6.4
Rounded to the nearest whole number, the percent error is 6%.
To calculate the percent error, you need to find the difference between the predicted and actual value, and then divide it by the predicted value. Finally, multiply the result by 100 to get the percentage.
The predicted value is 250 bags of popcorn, and the actual value is 266 bags of popcorn.
Now, let's perform the calculations:
Step 1: Find the difference between the predicted and actual value:
266 (actual) - 250 (predicted) = 16
Step 2: Divide the difference by the predicted value:
16 / 250 = 0.064
Step 3: Multiply the result by 100 to get the percentage:
0.064 × 100 = 6.4
Rounded to the nearest whole number, the percent error is 6%.
To calculate the percent error, we need to find the difference between the predicted value and the actual value, and then express it as a percentage of the predicted value.
1. First, find the difference between the predicted value and the actual value:
Predicted value: 250 bags
Actual value: 266 bags
Difference = Actual value - Predicted value
Difference = 266 - 250
Difference = 16
2. Express the difference as a percentage of the predicted value:
Percent Error = (Difference / Predicted value) * 100
Percent Error = (16 / 250) * 100
Percent Error ≈ 6.4
3. Round the percent error to the nearest whole number:
Percent Error ≈ 6
Therefore, the percent error is approximately 6%.