
If ${{L = (20 \pm 0}}{\text{.01)m}}\,{\text{and}}\,{{B = (10 \pm 0}}{\text{.02)m}}$ then, $\dfrac{L}{B}$ is-
(A) $(2 \pm 0.03 )$ m
(B) $(2 \pm 0.015 )$ m
(C) $(2 \pm 0.01 )$ m
(D) $(2 \pm 0.005 )$ m
Answer
572.7k+ views
Hint
Firstly find the value of $\dfrac{L}{B}$ and then find out the maximum permissible error in $\dfrac{L}{B}$. Then represent the answer in the form of $A \pm \Delta A$.
Complete step by step answer
Given, Error in measurement of L = 0.01.
Error in measurement of B= 0.02.
Value of L = 20.
Value of B = 10.
We can easily find the value of $\dfrac{L}{B}$ which is $\dfrac{{20}}{{10}} = 2$.
Maximum Error in $\dfrac{L}{B}$ = Error in measurement of L + Error in measurement of B.
Maximum Error in $\dfrac{L}{B}$ = 0.01 + 0.02.
Maximum Error in = 0.03.
Hence the value of $\dfrac{L}{B}$ is $(2 \pm 0.03)$.
Note
Error is treated as a positive quantity. It means that errors are always added and never subtracted. This is done to obtain the maximum error. Let’s take an example of a product having errors in two components A and B both of which have an error of 5%. Now if we subtract the errors, the error becomes 0 which implies that there is no error in the product but we know in reality that there is an error. Hence we always add errors and never subtract them.
Firstly find the value of $\dfrac{L}{B}$ and then find out the maximum permissible error in $\dfrac{L}{B}$. Then represent the answer in the form of $A \pm \Delta A$.
Complete step by step answer
Given, Error in measurement of L = 0.01.
Error in measurement of B= 0.02.
Value of L = 20.
Value of B = 10.
We can easily find the value of $\dfrac{L}{B}$ which is $\dfrac{{20}}{{10}} = 2$.
Maximum Error in $\dfrac{L}{B}$ = Error in measurement of L + Error in measurement of B.
Maximum Error in $\dfrac{L}{B}$ = 0.01 + 0.02.
Maximum Error in = 0.03.
Hence the value of $\dfrac{L}{B}$ is $(2 \pm 0.03)$.
Note
Error is treated as a positive quantity. It means that errors are always added and never subtracted. This is done to obtain the maximum error. Let’s take an example of a product having errors in two components A and B both of which have an error of 5%. Now if we subtract the errors, the error becomes 0 which implies that there is no error in the product but we know in reality that there is an error. Hence we always add errors and never subtract them.
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