Fundamentals of Surveying (FS) Practice Exam

What kind of error is a mistake made by the observer during data collection?

1. Random error

2. Blunder

3. Systematic error

4. Accuracy error

The correct answer is: Blunder

A blunder refers to a significant mistake made by the observer during the process of data collection. This type of error typically stems from human oversight or misunderstanding rather than from the instruments or methods used. Blunders can lead to inaccurate data points that stand out significantly from other data, making them easy to identify and correct when the data is reviewed. In contrast, random errors occur due to unpredictable variations during measurements—these may be caused by slight changes in environmental conditions or instrument noise. Systematic errors, on the other hand, are consistent inaccuracies that affect all measurements in the same way, usually due to a flaw in the measurement system or process. Accuracy error is a less common term and does not specifically indicate a type of error tied to human action or oversight. Recognizing blunders is crucial in data collection because they can fundamentally affect the integrity of survey results, and identifying them allows for the correction of the recorded data, leading to more reliable outcomes.