Question 56

Random errors are caused by unpredictable fluctuations in readings.

Random errors arise from inherent variability in measurements, which can be attributed to unpredictable fluctuations in readings. These errors occur randomly and can affect the accuracy of data collected.

A) Biased data

Biased data refers to systematic errors that skew results in a particular direction and are not classified as random errors. While biased data affects the reliability of findings, it does not stem from the unpredictable fluctuations that characterize random errors.

B) Respondents favoring certain outcomes

This option describes a systematic bias that can occur in survey responses, where respondents may consciously or unconsciously provide answers they believe are more favorable. Such tendencies lead to errors in data collection but are not considered random errors since they follow a pattern rather than occurring unpredictably.

C) Unpredictable fluctuations in readings

This option is correct as random errors originate from unpredictable fluctuations in the measurement process. These fluctuations can arise from various sources, such as environmental conditions or slight variations in measurement techniques, leading to variations in the data that do not consistently favor a particular outcome.

D) An instrument that needs calibration

While an uncalibrated instrument may lead to systematic errors, it is not a source of random errors. Random errors are defined by their unpredictable nature, unlike the predictable bias introduced by improperly calibrated instruments, which consistently affect measurements in a particular direction.

Conclusion

Random errors are definitively linked to unpredictable fluctuations in readings, making option C the correct choice. Options A and B describe biases that do not align with the concept of randomness, while option D involves systematic errors associated with instrument calibration. Thus, all other options fail to capture the essence of what defines random errors.