Question 56

Random errors are caused by unpredictable fluctuations in readings.

Random errors arise from variations that occur in measurements due to unpredictable fluctuations. These errors can occur regardless of how carefully an experiment is designed or how accurate the instruments used are.

A) Biased data

Biased data refers to systematic errors that consistently skew results in a particular direction, often due to sampling methods or data collection procedures. While biased data can affect the accuracy of results, it does not account for random errors, which are inherently unpredictable and not systematic.

B) Respondents favoring certain outcomes

When respondents favor certain outcomes, it indicates a systematic bias in their responses, which can distort the results of a survey or experiment. This is a systematic error, not a random error, as it reflects a consistent pattern rather than unpredictable fluctuations.

C) Unpredictable fluctuations in readings

Unpredictable fluctuations in readings are the essence of random errors. These variations can occur due to numerous factors such as environmental changes, human error, or limitations in measurement precision, leading to inconsistencies that cannot be anticipated or controlled.

D) An instrument that needs calibration

An instrument that requires calibration typically introduces systematic errors if it consistently provides inaccurate measurements. While improper calibration can lead to inaccuracies, it does not account for the random, unpredictable variations that define random errors.

Conclusion

Random errors are specifically defined by their unpredictable nature, which is accurately represented by option C. In contrast, options A, B, and D discuss systematic errors or biases that do not capture the essence of random errors, demonstrating why C is the correct answer. Understanding the distinction between random and systematic errors is crucial for accurate data interpretation and analysis.