Mathematics
7 Online
OpenStudy (anonymous):
example from book that i don't fully understand:
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OpenStudy (anonymous):
\[\log_{10} 2^{1.42}\]
OpenStudy (anonymous):
according to this a theorem:
this is equal to; 1.42log2
=(1.42)(0.30103)
2^1.42=2.6758
how did they get the last part?
OpenStudy (experimentx):
calculator ...
OpenStudy (anonymous):
i can't use a calculator in the exam..
OpenStudy (experimentx):
do you get log tables??
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OpenStudy (anonymous):
the book said use theorem 7 to compute \[2^{1.42}\]
and theorem 7 is: \[ \log_{a} X ^{y} = y \log_{a} x\]
OpenStudy (anonymous):
nope only some logs like log2 and log3..
OpenStudy (anonymous):
@lgbasallote
OpenStudy (anonymous):
i don't know but the answer for 2^1.42 = 2.6758
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OpenStudy (lgbasallote):
that's according to a calculator
OpenStudy (anonymous):
we just need to solve it using the theorem.
OpenStudy (lgbasallote):
it's not the answer to \[\log_{10} 2^{1.42}\]it's just telling you the value of \[2^{1.42}\]
OpenStudy (lgbasallote):
maybe to compare
OpenStudy (anonymous):
i know that \[\log_{10} 2^{1.42} = 0.42746\]
but we need to find 2^1.42
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OpenStudy (anonymous):
using logs
OpenStudy (lgbasallote):
dint you just say \[2^{1.42} = 2.6758\]
OpenStudy (lgbasallote):
anyway..you cant solve \[2^{1.42}\]without using a calculator...unless you know calculus or some other high level math
OpenStudy (anonymous):
okay, i guess then i can't do my exercise.. thank you for all the help.
OpenStudy (anonymous):
@waterineyes @satellite73
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OpenStudy (anonymous):
Which value you want to find :
\(2^{1.42}\)
Or:
\(log(2^{1.42})\) ??
OpenStudy (anonymous):
the first using the second
OpenStudy (anonymous):
And you are not allowed to use calculators ??
OpenStudy (anonymous):
yes
OpenStudy (anonymous):
Then I think you are allowed to Log Tables in exams...
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OpenStudy (anonymous):
maybe the book is wrong because i have said everything it has told me
OpenStudy (anonymous):
Can you use Log Tables in exams or not ??
OpenStudy (anonymous):
no log table but we are given certain logs that are needed
OpenStudy (anonymous):
Can we use approximation here ??
OpenStudy (anonymous):
i guess..
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OpenStudy (experimentx):
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