Question
Find the absolute uncertainty and express each answer with a reasonable number of significant figures. [12.41(+-.09)/4.16(+-.01)]×7.0682(+-.0004)
Answers
Answered by
GPT-4o mini
To find the absolute uncertainty of the expression \((12.41 \pm 0.09) / (4.16 \pm 0.01) \times (7.0682 \pm 0.0004)\), we can use the following rules for uncertainties.
1. **Division**: When dividing quantities, we calculate the relative uncertainty (percentage uncertainty) of each quantity, sum those for the final result, and convert back to absolute uncertainty.
2. **Multiplication**: When multiplying quantities, we again calculate the relative uncertainties, sum those, then convert back to absolute uncertainty.
**Step 1: Finding the quotient**
Let's first calculate \( \frac{12.41 \pm 0.09}{4.16 \pm 0.01} \).
- For \( 12.41 \), the absolute uncertainty is \(0.09\).
Relative uncertainty of \(12.41\) is given by:
\[
\frac{0.09}{12.41} \approx 0.00724 \quad (0.724\%)
\]
- For \( 4.16 \), the absolute uncertainty is \(0.01\).
Relative uncertainty of \(4.16\) is given by:
\[
\frac{0.01}{4.16} \approx 0.002403 \quad (0.2403\%)
\]
Now, we sum the relative uncertainties:
\[
\text{Total relative uncertainty} = 0.00724 + 0.002403 \approx 0.009643
\]
Now we calculate \( \frac{12.41}{4.16} \):
\[
\frac{12.41}{4.16} \approx 2.985576
\]
To keep an appropriate number of significant figures, we round this to 2.986 (3 significant figures).
Now, calculate the absolute uncertainty using the total relative uncertainty:
\[
\text{Absolute uncertainty} = 2.986 \times 0.009643 \approx 0.0288
\]
So we have:
\[
\frac{12.41 \pm 0.09}{4.16 \pm 0.01} \approx 2.986 \pm 0.029
\]
**Step 2: Multiplying with \(7.0682 \pm 0.0004\)**
Now we compute:
\[
(2.986 \pm 0.029) \times (7.0682 \pm 0.0004)
\]
- For \(7.0682\), the absolute uncertainty is \(0.0004\).
Relative uncertainty of \(7.0682\):
\[
\frac{0.0004}{7.0682} \approx 0.0000566 \quad (0.00566\%)
\]
Now we compute the relative uncertainty for the result from the previous step:
Let's find the product first:
\[
2.986 \times 7.0682 \approx 21.132334
\]
This rounds to \(21.132\) (5 significant figures).
Now, we combine the relative uncertainties:
\[
\text{Total relative uncertainty} = 0.009643 + 0.0000566 \approx 0.0096996
\]
Now find the absolute uncertainty for the final result:
\[
\text{Absolute uncertainty} = 21.132 \times 0.0096996 \approx 0.205
\]
So, rounding to three significant figures for consistency (as the 21.132 means we should have three significant figures in the final result):
\[
\text{Final result} = 21.132 \pm 0.205
\]
Thus, expressing our final result:
\[
21.1 \pm 0.2
\]
Putting it all together, the complete calculation yields:
\[
\frac{12.41 \pm 0.09}{4.16 \pm 0.01} \times (7.0682 \pm 0.0004) \approx 21.1 \pm 0.2
\]
1. **Division**: When dividing quantities, we calculate the relative uncertainty (percentage uncertainty) of each quantity, sum those for the final result, and convert back to absolute uncertainty.
2. **Multiplication**: When multiplying quantities, we again calculate the relative uncertainties, sum those, then convert back to absolute uncertainty.
**Step 1: Finding the quotient**
Let's first calculate \( \frac{12.41 \pm 0.09}{4.16 \pm 0.01} \).
- For \( 12.41 \), the absolute uncertainty is \(0.09\).
Relative uncertainty of \(12.41\) is given by:
\[
\frac{0.09}{12.41} \approx 0.00724 \quad (0.724\%)
\]
- For \( 4.16 \), the absolute uncertainty is \(0.01\).
Relative uncertainty of \(4.16\) is given by:
\[
\frac{0.01}{4.16} \approx 0.002403 \quad (0.2403\%)
\]
Now, we sum the relative uncertainties:
\[
\text{Total relative uncertainty} = 0.00724 + 0.002403 \approx 0.009643
\]
Now we calculate \( \frac{12.41}{4.16} \):
\[
\frac{12.41}{4.16} \approx 2.985576
\]
To keep an appropriate number of significant figures, we round this to 2.986 (3 significant figures).
Now, calculate the absolute uncertainty using the total relative uncertainty:
\[
\text{Absolute uncertainty} = 2.986 \times 0.009643 \approx 0.0288
\]
So we have:
\[
\frac{12.41 \pm 0.09}{4.16 \pm 0.01} \approx 2.986 \pm 0.029
\]
**Step 2: Multiplying with \(7.0682 \pm 0.0004\)**
Now we compute:
\[
(2.986 \pm 0.029) \times (7.0682 \pm 0.0004)
\]
- For \(7.0682\), the absolute uncertainty is \(0.0004\).
Relative uncertainty of \(7.0682\):
\[
\frac{0.0004}{7.0682} \approx 0.0000566 \quad (0.00566\%)
\]
Now we compute the relative uncertainty for the result from the previous step:
Let's find the product first:
\[
2.986 \times 7.0682 \approx 21.132334
\]
This rounds to \(21.132\) (5 significant figures).
Now, we combine the relative uncertainties:
\[
\text{Total relative uncertainty} = 0.009643 + 0.0000566 \approx 0.0096996
\]
Now find the absolute uncertainty for the final result:
\[
\text{Absolute uncertainty} = 21.132 \times 0.0096996 \approx 0.205
\]
So, rounding to three significant figures for consistency (as the 21.132 means we should have three significant figures in the final result):
\[
\text{Final result} = 21.132 \pm 0.205
\]
Thus, expressing our final result:
\[
21.1 \pm 0.2
\]
Putting it all together, the complete calculation yields:
\[
\frac{12.41 \pm 0.09}{4.16 \pm 0.01} \times (7.0682 \pm 0.0004) \approx 21.1 \pm 0.2
\]
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