Step 1: Understanding the Question:
The question asks us to compare the accuracy and precision of the experimental measurements made by two different students, P and Q, against a true value of 9.0.
Step 2: Key Formula or Approach:
1. Accuracy refers to how close the average of the measurements is to the true/expected value:
\[ \text{Accuracy} \propto \frac{1}{|\text{Average} - \text{True Value}|} \]
2. Precision refers to how close the individual measurements are to one another, which is reflected by the range, standard deviation, or spread:
\[ \text{Spread} = \text{Maximum Value} - \text{Minimum Value} \]
Step 3: Detailed Explanation:
• Let us first evaluate the accuracy of both students' datasets.
• The true expected value is $9.0$.
• The average value calculated for Student P's measurements is:
\[ \text{Average}_P = \frac{8.9 + 9.1 + 9.0}{3} = 9.0 \]
• The average value calculated for Student Q's measurements is:
\[ \text{Average}_Q = \frac{8.0 + 9.0 + 10.0}{3} = 9.0 \]
• Since the average values for both students are exactly equal to the true value ($9.0$), both students are equally accurate.
• Next, let us evaluate the precision of both students' datasets by looking at the spread of their measurements.
• For Student P, the individual values are $8.9$, $9.1$, and $9.0$. The range is:
\[ \text{Range}_P = 9.1 - 8.9 = 0.2 \]
• For Student Q, the individual values are $8.0$, $9.0$, and $10.0$. The range is:
\[ \text{Range}_Q = 10.0 - 8.0 = 2.0 \]
• Since the spread/range of Student P's measurements ($0.2$) is much smaller than that of Student Q's ($2.0$), the individual measurements of P are much closer to one another.
• This indicates that Student P has a much higher level of precision.
Step 4: Final Answer:
Therefore, both P and Q are equally accurate, but P is more precise than Q.