Question
What is the difference between an observation and an inference, and which one might be biased? A An inference can be seen and/or measured. An observation is an effort to explain how events happen and can be biased. B An observation can be seen and/or measured. An inference is an effort to explain how events happen and can be biased. C An observation can be seen and/or measured and can be biased. An inference is an effort to explain how events happen and can be biased. D An observation can be seen and/or measured. An inference is an effort to explain how events happen. Neither can be biased.
Answers
GPT-4o mini
The correct answer is B: "An observation can be seen and/or measured. An inference is an effort to explain how events happen and can be biased."
In this context, an observation is a direct record of what is seen or measured, while an inference is a conclusion or explanation that is drawn based on interpretations of those observations. Inferences can sometimes be influenced by personal beliefs or preconceived notions, leading to potential bias. Observations, being factual in nature, do not inherently carry bias, but the way they are interpreted or the context in which they are made may introduce bias.
In this context, an observation is a direct record of what is seen or measured, while an inference is a conclusion or explanation that is drawn based on interpretations of those observations. Inferences can sometimes be influenced by personal beliefs or preconceived notions, leading to potential bias. Observations, being factual in nature, do not inherently carry bias, but the way they are interpreted or the context in which they are made may introduce bias.