Solved on Mar 02, 2024

Audrey predicts she will make 15 free throws before missing one, but makes 20. What is the percent error in her prediction?
Percent Error=ActualPredictedPredicted×100\text{Percent Error} = \frac{|\text{Actual} - \text{Predicted}|}{\text{Predicted}} \times 100

STEP 1

Assumptions
1. Audrey predicts she will make 15 free throws before missing.
2. Audrey actually makes 20 free throws before missing.

STEP 2

To find the percent error, we first need to calculate the absolute error, which is the difference between the predicted value and the actual value.
Absoluteerror=ActualvaluePredictedvalueAbsolute\, error = |Actual\, value - Predicted\, value|

STEP 3

Now, plug in the given values for the actual value and the predicted value to calculate the absolute error.
Absoluteerror=2015Absolute\, error = |20 - 15|

STEP 4

Calculate the absolute error.
Absoluteerror=2015=5=5Absolute\, error = |20 - 15| = |5| = 5

STEP 5

Next, we need to calculate the percent error, which is the absolute error divided by the actual value, then multiplied by 100 to convert it to a percentage.
Percenterror=(AbsoluteerrorActualvalue)×100%Percent\, error = \left(\frac{Absolute\, error}{Actual\, value}\right) \times 100\%

STEP 6

Plug in the values for the absolute error and the actual value to calculate the percent error.
Percenterror=(520)×100%Percent\, error = \left(\frac{5}{20}\right) \times 100\%

STEP 7

Calculate the percent error.
Percenterror=(520)×100%=(14)×100%=25%Percent\, error = \left(\frac{5}{20}\right) \times 100\% = \left(\frac{1}{4}\right) \times 100\% = 25\%
The percent error for Audrey's prediction is 25%.

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