Finding error in following difference table?
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I've been trying to solve a question on my book on finding error in the following difference table:
My teacher told me to expand the difference table until I find the proper Binomial coefficients, hence I've expanded the difference table to y5.
According to my solution, the error is originating from 6th entry of the table.
In the y5 column, I am using Binomial factors to find the error.
Error = Largest value in a column / Corresponding coefficient of õ in that column
Error = $.095/4 = 0.02375$
Since my teacher told me that the error will always be subtracted from orginal entry
Corrected Value = $ 0.589 - 0.02375 = 0.56525 $
but in my book, the answer is: $0.598$
Where am I missing?
numerical-methods finite-differences error-propagation
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up vote
0
down vote
favorite
I've been trying to solve a question on my book on finding error in the following difference table:
My teacher told me to expand the difference table until I find the proper Binomial coefficients, hence I've expanded the difference table to y5.
According to my solution, the error is originating from 6th entry of the table.
In the y5 column, I am using Binomial factors to find the error.
Error = Largest value in a column / Corresponding coefficient of õ in that column
Error = $.095/4 = 0.02375$
Since my teacher told me that the error will always be subtracted from orginal entry
Corrected Value = $ 0.589 - 0.02375 = 0.56525 $
but in my book, the answer is: $0.598$
Where am I missing?
numerical-methods finite-differences error-propagation
add a comment |Â
up vote
0
down vote
favorite
up vote
0
down vote
favorite
I've been trying to solve a question on my book on finding error in the following difference table:
My teacher told me to expand the difference table until I find the proper Binomial coefficients, hence I've expanded the difference table to y5.
According to my solution, the error is originating from 6th entry of the table.
In the y5 column, I am using Binomial factors to find the error.
Error = Largest value in a column / Corresponding coefficient of õ in that column
Error = $.095/4 = 0.02375$
Since my teacher told me that the error will always be subtracted from orginal entry
Corrected Value = $ 0.589 - 0.02375 = 0.56525 $
but in my book, the answer is: $0.598$
Where am I missing?
numerical-methods finite-differences error-propagation
I've been trying to solve a question on my book on finding error in the following difference table:
My teacher told me to expand the difference table until I find the proper Binomial coefficients, hence I've expanded the difference table to y5.
According to my solution, the error is originating from 6th entry of the table.
In the y5 column, I am using Binomial factors to find the error.
Error = Largest value in a column / Corresponding coefficient of õ in that column
Error = $.095/4 = 0.02375$
Since my teacher told me that the error will always be subtracted from orginal entry
Corrected Value = $ 0.589 - 0.02375 = 0.56525 $
but in my book, the answer is: $0.598$
Where am I missing?
numerical-methods finite-differences error-propagation
edited Dec 18 '16 at 4:27
asked Dec 17 '16 at 14:21
HQuser
142112
142112
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1 Answer
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The corresponding coefficient of $varepsilon$ in that column for $0.095$ is $-10$.
So error will be $-0.0095$. And hence Corrected Value $=0.589+0.0095=0.5985$
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
0
down vote
The corresponding coefficient of $varepsilon$ in that column for $0.095$ is $-10$.
So error will be $-0.0095$. And hence Corrected Value $=0.589+0.0095=0.5985$
add a comment |Â
up vote
0
down vote
The corresponding coefficient of $varepsilon$ in that column for $0.095$ is $-10$.
So error will be $-0.0095$. And hence Corrected Value $=0.589+0.0095=0.5985$
add a comment |Â
up vote
0
down vote
up vote
0
down vote
The corresponding coefficient of $varepsilon$ in that column for $0.095$ is $-10$.
So error will be $-0.0095$. And hence Corrected Value $=0.589+0.0095=0.5985$
The corresponding coefficient of $varepsilon$ in that column for $0.095$ is $-10$.
So error will be $-0.0095$. And hence Corrected Value $=0.589+0.0095=0.5985$
edited Feb 11 at 7:06
mucciolo
1,9741819
1,9741819
answered Feb 11 at 6:07
bharat dubey
1
1
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