TerraNova Science Practice Test

Bias in scientific observations comes from how a person’s expectations or habits influence what’s recorded. A solid way to reduce this is to use objective measurements, involve more than one observer, and repeat the experiments. Objective measurements rely on calibrated tools and numerical data rather than subjective judgment, which keeps the data from being colored by personal views. Having multiple observers allows cross-checking and helps ensure that interpretations aren’t tied to a single person’s viewpoint; differences can be discussed and resolved, raising reliability. Repeating experiments tests whether results hold under the same conditions and helps reveal random errors or anomalies, boosting confidence in the findings.

Relying on a single experienced observer can introduce personal bias. Ignoring outliers hides real variation and can distort conclusions. Relying on sensors without human verification can miss sensor drift or malfunctions, leading to biased or erroneous results.