------ error occurs in a consistent pattern and biases outcomes, while ------ does not.

------ error occurs in a consistent pattern and biases outcomes, while ------ does not.

• A. Systematic; Random
• B. Random; Systematic
• C. Measurement; Sampling
• D. Bias; Error

Answer: (A)

The main idea here is distinguishing between systematic error and random error and how each affects results. Systematic error shows up as a consistent, repeatable bias in the same direction every time you measure. Because the flaw is in the instrument, procedure, or sampling method, all measurements shift toward the same direction, so the overall estimate is biased and this bias persists across repeated measurements. Random error, by contrast, arises from unpredictable fluctuations that vary from one measurement to the next. These errors don’t push results in a single direction; they create noise that tends to cancel out when many measurements are averaged, reducing their impact on the final estimate. Therefore, an error that occurs in a consistent pattern and biases outcomes is systematic, while random does not have that consistent bias.

The main idea here is distinguishing between systematic error and random error and how each affects results. Systematic error shows up as a consistent, repeatable bias in the same direction every time you measure. Because the flaw is in the instrument, procedure, or sampling method, all measurements shift toward the same direction, so the overall estimate is biased and this bias persists across repeated measurements. Random error, by contrast, arises from unpredictable fluctuations that vary from one measurement to the next. These errors don’t push results in a single direction; they create noise that tends to cancel out when many measurements are averaged, reducing their impact on the final estimate. Therefore, an error that occurs in a consistent pattern and biases outcomes is systematic, while random does not have that consistent bias.