Question

checking comprehension (press pause for more time) label the following data sets as being accurate or inaccurate, and precise or imprecise. the bulls eye on the left represents options: accurate and precise, accurate but not precise, not accurate and not precise, precise but not accurate

Explanation:

To determine the label for the left bullseye:

• Accuracy refers to how close data points are to the true value (bullseye center). The left bullseye’s points are clustered (precise, as they are close to each other) but not near the center (inaccurate, as they deviate from the true value).
• Let’s analyze the options:
• "accurate and precise": Incorrect (points are not near the center, so not accurate).
• "accurate but not precise": Incorrect (points are clustered, so they are precise).
• "not accurate and not precise": Incorrect (points are clustered, so they are precise).
• "precise but not accurate": Correct (points are close to each other (precise) but not near the bullseye center (inaccurate)).

Answer:

precise but not accurate