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CRITICAL THINKING. Kindly show your solution.

Experiment 1 21.500 ml
Experiment 2 21.501 ml
Experiment 3 21.498 ml
Experiment 4 22.000 ml
Experiment 5 21.599 ml

Standard is 22 ml

a. Get the uncertainty
b. Get the error through the mean
c. Percentage error
d. Which is it closer to the accuracy?
e. Is the experiment precise or accurate? Why (7 sentences)​

1 Answer

5 votes

Final answer:

Without the actual measured values, precision and accuracy of the experiment cannot be conclusively determined. Precision refers to how consistent the measurements are, while accuracy is about how close the measurements are to the standard value. Measurements should always be reported to the correct number of significant figures and units.

Step-by-step explanation:

The question involves analyzing the precision and accuracy of an experiment where the standard volume is 22 ml. To calculate the percentage error (e), we need to determine how close the experimental result (EBM) is to the standard. With a confidence interval (CI) of (0.18, 0.22), and an EBM of 0.02, we can infer that the experiment was supposed to result in measurements around the standard volume. A percentage error is found by taking the absolute difference between the expected and actual result, divided by the expected result, multiplied by 100. In the context of this experiment, we are missing the actual results needed to calculate the percentage error.

However, if results were within the stated maximum error bound of ± 3 percent, they are considered acceptable. Precision relates to the consistency of repeated measurements, whereas accuracy refers to how close measurements are to the true or accepted value. An experiment is precise if results are consistently similar, and accurate if those results are also close to the standard or true value. Given the CI, EBM, and percentage error context, it is not possible to conclusively state whether the experiment is precise or accurate without further data about the actual measured volumes. Lastly, increasing the sample size could lower the sampling error which could improve the precision and potentially the accuracy as well.

To adhere to proper scientific reporting, measurements should be expressed with the correct significant figures and units. This is crucial for maintaining consistency and reliability in scientific communication.

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