Revising the Average: Correcting a Calculation Error
In many scenarios, the accuracy of calculated averages is crucial. This article explores a common error in the calculation of an average and demonstrates how to rectify this mistake.
Suppose the average of ten numbers is initially calculated as 16. After thorough review, it is discovered that the number 55 was incorrectly read as 25.
The Role of the Incorrect Number
The incorrect number, 25, was used to compute the average, which led to a miscalculation. In reality, 55 should have been the correct value. To correct the error, you need to reassess the sum of the numbers involved.
Step 1: Calculate the Incorrect Sum
The initial average was calculated as follows:
Let the sum of the ten numbers be ( S ).
(frac{S}{10} 16)
(S 160)
However, the incorrect number 25 was used instead of the correct number 55 in the calculation. The difference between these two numbers is:
55 - 25 30
Step 2: Calculate the Correct Sum
To find the correct average, you must adjust the sum by subtracting the error. Therefore, the correct sum is:
Correct Sum 160 - 30 130
Step 3: Calculate the Correct Average
The correct average is then calculated by dividing the correct sum by the number of values:
(frac{130}{10} 13)
This shows that the initial average of 16 was incorrect due to the reading of 25 as 55. The correct average is 13.
Additional Examples
To further clarify, let's revisit a few similar cases:
Example 1:
Wrong Average of 10 numbers 15
Total sum of 10 numbers:
(15 times 10 150)
Since 55 was read as 25, the wrong sum is actually less by 30. The correct sum is:
150 30 180
Correct Average: (frac{180}{10} 18)
Example 2:
Average of 10 numbers 15
Total sum of 10 numbers:
(15 times 10 150)
Since 55 was read as 25, the correct sum is:
150 30 180
Correct Average: (frac{180}{10} 18)
Conclusion
Understanding how to correct the average when an incorrect number is used is crucial for ensuring accurate results in many real-world applications. This article exemplifies the process through step-by-step calculations and examples. Keeping these techniques in mind can prevent similar errors in future calculations of averages.