How Do I Calculate Uncertainty in Combined Measurements?

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In summary, uncertainty refers to the lack of knowledge or information about a situation or event, and it can also refer to the variability or unpredictability of a measurement or outcome. In science, uncertainty is important because it allows us to understand the limitations of our knowledge and encourages critical evaluation of findings. It is typically measured using statistical methods and there are different types such as aleatory, epistemic, and ontological uncertainty. Uncertainty can be reduced or managed by improving measurement quality, increasing sample sizes, and acknowledging and communicating it in research and decision-making.
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I'm doing a lab report right now, but am fuzzy on uncertainty in certain respects.

I have something like

d = 25 +/-2, d2 = 330 +/- 3, x = 55 +/- 6etc

how do I calculate the uncertainty, in another quantity, if it's like this

c = (d1 + d2)/x

Basically, how do I calculate the +/- part in c?
 
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  • #2
for both multiplication and division the uncertainties are added like this

[tex] \frac{\Delta c}{c} = \frac{\Delta d_{1}}{d_{1}} + \frac{\Delta d_{2}}{d_{2}} + \frac{\Delta x}{x} [/tex]
 
  • #3



Hi there,

Uncertainty is an important concept in scientific measurements and it is essential to understand it for accurate reporting of results. In your case, the uncertainty in c can be calculated using the following formula:

Uncertainty in c = (Uncertainty in d1 + Uncertainty in d2 + Uncertainty in x)/x

In your given example, the uncertainties in d1, d2, and x are +/-2, +/-3, and +/-6 respectively. Therefore, the uncertainty in c would be:

Uncertainty in c = (2 + 3 + 6)/55 = 0.2

So, the final result for c would be:

c = (25 +/- 2 + 330 +/- 3)/55 +/- 0.2

I hope this helps clarify your doubts. If you have any further questions, please don't hesitate to ask. Good luck with your lab report!
 

Related to How Do I Calculate Uncertainty in Combined Measurements?

What is uncertainty?

Uncertainty refers to the lack of knowledge or information about a particular situation or event. It can also refer to the variability or unpredictability of a measurement or outcome.

Why is uncertainty important in science?

Uncertainty is important in science because it allows us to understand the limitations of our knowledge and the potential for error in our measurements and conclusions. It also encourages scientists to critically evaluate their findings and consider alternative explanations.

How is uncertainty measured?

Uncertainty is typically measured using statistical methods, such as calculating the standard deviation or confidence intervals. It can also be evaluated through sensitivity analysis, which examines how changes in variables affect the overall outcome.

What are the different types of uncertainty?

There are several types of uncertainty, including aleatory uncertainty (inherent variability or randomness), epistemic uncertainty (lack of knowledge or understanding), and ontological uncertainty (uncertainty about the nature of reality).

How can uncertainty be reduced or managed?

Uncertainty can be reduced or managed by improving the quality and accuracy of measurements, increasing sample sizes, and using multiple methods or approaches to verify findings. It is also important to acknowledge and communicate uncertainty in scientific research and decision-making.

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