Learning Path
Question & Answer1
Understand Question2
Review Options3
Learn Explanation4
Explore TopicChoose the Best Answer
A
Increased measurement accuracy leads to a more reliable standard curve.
B
Measurement accuracy has no impact on the standard curve.
C
A reliable standard curve can be generated even with low measurement accuracy.
D
The standard curve is only influenced by the number of data points collected.
Understanding the Answer
Let's break down why this is correct
Answer
Accurate measurements place data points close to their true values, so the plotted curve reflects the real relationship between variables. When measurement errors are large, the points scatter, distorting the curve’s slope and intercept, and making the calibration unreliable. This in turn causes predictions or decisions based on the curve to be inaccurate. For example, if a company’s advertising spend is reported 10 % higher than it actually is, the standard curve will overestimate the effect of spend on sales, leading to wrong budget decisions. Thus, the higher the measurement accuracy, the more dependable the generated standard curve and the analytics that rely on it.
Detailed Explanation
When measurements are precise, the points plotted on the curve are close to their true values. Other options are incorrect because Some think accuracy is irrelevant, but errors in measurement add noise to the data; Low accuracy means many points are far from the real values.
Key Concepts
standard curve
calibration
measurement accuracy
Topic
Standard Curve Generation
Difficulty
hard level question
Cognitive Level
understand
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Test your understanding with related questions
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Question 3Which of the following statements about standard curve generation in protein measurement are true? (Select all that apply)
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