Add, subtract, multiply and divide uncertainties in measurement.

In summary, when adding uncertainties in measurement, add the absolute values together. Subtraction is also done by subtracting the absolute values. Multiplication is done by multiplying the absolute values, and division by dividing them. It is important to take uncertainties into account when performing mathematical operations on measurements to accurately represent precision and accuracy and avoid misleading or incorrect conclusions.
  • #1
Sassenav22
30
0
Can someone show me how to add, subtract, multiply and divide uncertainties in measurement.
 
Mathematics news on Phys.org
  • #2


I'm not sure I understand your question. Do you mean something like given errors in measuring a and b estimate the error in calculating some function f(a,b)? Or something else?
 
  • #3


errors in measurement like 0.06 plus and minus 5% and 0.09 plus and minus 3%
 
  • #5


I can provide you with the necessary steps to add, subtract, multiply, and divide uncertainties in measurement.

1. Adding uncertainties: When adding two or more quantities with uncertainties, the uncertainties must be added together to find the total uncertainty. For example, if we have two measurements, A = 10 ± 0.5 and B = 15 ± 0.7, the total uncertainty when adding them together would be 0.5 + 0.7 = 1.2. Therefore, the final result would be A + B = 25 ± 1.2.

2. Subtracting uncertainties: Similar to adding uncertainties, when subtracting two or more quantities with uncertainties, the uncertainties must be subtracted to find the total uncertainty. For example, if we have two measurements, A = 10 ± 0.5 and B = 15 ± 0.7, the total uncertainty when subtracting them would be 0.5 + 0.7 = 1.2. Therefore, the final result would be A - B = -5 ± 1.2.

3. Multiplying uncertainties: When multiplying two or more quantities with uncertainties, the relative uncertainties must be multiplied to find the total relative uncertainty. For example, if we have two measurements, A = 10 ± 0.5 and B = 15 ± 0.7, the relative uncertainties would be 0.5/10 = 0.05 and 0.7/15 = 0.0467. Multiplying these relative uncertainties gives us the total relative uncertainty of A x B = 10 x 15 ± (0.05 x 0.0467) = 150 ± 0.02335.

4. Dividing uncertainties: Similar to multiplying uncertainties, when dividing two or more quantities with uncertainties, the relative uncertainties must be divided to find the total relative uncertainty. For example, if we have two measurements, A = 10 ± 0.5 and B = 15 ± 0.7, the relative uncertainties would be 0.5/10 = 0.05 and 0.7/15 = 0.0467. Dividing these relative uncertainties gives us the total relative uncertainty of A/B = 10/15 ± (0.05/0.0467) = 0.667 ± 0.00107.

It is important to note that uncertainties
 

Related to Add, subtract, multiply and divide uncertainties in measurement.

1. How do you add uncertainties in measurement?

When adding uncertainties, simply add the absolute values of the uncertainties together. For example, if you have a measurement of 10 ± 0.5 and you want to add it to a measurement of 5 ± 0.3, the final result would be 15 ± 0.8.

2. Can you subtract uncertainties in measurement?

Yes, you can subtract uncertainties just like you would subtract any other numbers. Again, make sure to subtract the absolute values of the uncertainties. For example, if you have a measurement of 10 ± 0.5 and you want to subtract a measurement of 5 ± 0.3, the final result would be 5 ± 0.8.

3. How do you multiply uncertainties in measurement?

Multiplying uncertainties is done by multiplying the absolute values of the uncertainties. For example, if you have a measurement of 10 ± 0.5 and you want to multiply it by 2, the final result would be 20 ± 1.0.

4. Can you divide uncertainties in measurement?

Yes, you can divide uncertainties just like you would divide any other numbers. Make sure to divide the absolute values of the uncertainties. For example, if you have a measurement of 10 ± 0.5 and you want to divide it by 2, the final result would be 5 ± 0.25.

5. Why is it important to take uncertainties into account when performing mathematical operations on measurements?

Uncertainties represent the range of possible values that a measurement could fall within. When performing mathematical operations on measurements, it is important to consider these uncertainties in order to accurately represent the precision and accuracy of the final result. Neglecting to account for uncertainties can lead to misleading or incorrect conclusions.

Similar threads

Replies
1
Views
647
Replies
7
Views
655
  • Atomic and Condensed Matter
Replies
4
Views
1K
Replies
8
Views
2K
  • Set Theory, Logic, Probability, Statistics
Replies
7
Views
2K
Replies
4
Views
1K
  • Set Theory, Logic, Probability, Statistics
Replies
21
Views
2K
  • Quantum Physics
Replies
20
Views
1K
  • Introductory Physics Homework Help
Replies
2
Views
417
Back
Top