Which sample size will produce a margin of error of ±6.3%? 152 114 252 550
@phi
@robtobey
@Directrix
@Loser66
@Mehek14 @MissSmartiez
They'll help @18jonea. I'm not good at mathematics.
The following may help: http://www.dummies.com/how-to/content/how-sample-size-affects-the-margin-of-error.html
Can you help me work thrugh it @robtobey
@Astrophysics
@MissSmartiez
@phi
@Mehek14
@Kainui
we need more info to do this
like what this is all i got
@phi
I half remember that you need a level of confidence.
ok so how do i solve this @phi
We need more info or some assumptions. otherwise, I'm totally in the dark.
same
i can show you my notes
@phi
that might help
does that help
Yes, that helps a lot. They are saying (I guess it's a "rule of thumb" ) that the margin of error is about 1 / sqr(n)
to do the problem, first change 6.3% to a decimal . what is that ?
.063
now set that equal to 1/ sqr(n) \[ 0.063= \frac{1}{\sqrt{n}}\] and "solve for n" do you know how to do that ?
no
can you solve for x if you had \[ \frac{1}{x} = 2 \] ?
.5
i got 252 would that be right
you could multiply both sides by x to get \[ \frac{x}{x} = 2 x \] x/x is 1, so that is \[ 1 = 2x\] then divide both sides by 2 \[ \frac{1}{2} = x\]
for your problem, rename sqr(n) as x (temporarily) \[ \frac{1}{x} = 0.063\] can you solve for x ?
what
first multiply both sides by x
it will make sense in a minute
I got +- square root 15.87 n= 251.85 then round to 252
yes, that looks good
\[ \frac{1}{\sqrt{n}}= 0.063\] multiply both sides by sqr(n) \[ \frac{\sqrt{n}}{\sqrt{n}}= 0.063{\sqrt{n}} \\1=0.063{\sqrt{n}}\] now divide both sides by 0.063 \[ \frac{1}{0.063}= \sqrt{n} \] finally square both sides to get rid of the square root \[ \left( \frac{1}{0.063}\right)^2= n \]
typing into google: ( 1/0.063)^2 = we get 251.952633 or 252 rounded to the nearest whole number
When 876 voters were polled, 67% said they were voting yes on an initiative measure. Find the margin of error and an interval that is likely to contain the true population proportion. ±29.6%; between 37.4% and 96.6% ±3.4%; between 63.6% and 70.4% ±34%; between 33% and 100% ±3.0%; between 64.0% and 70.0% Can you help me with this one
@phi
do you have any more notes? I'm not sure if we use 876 or 67% of 876.
although, looking at the answer choices, it looks like we use the entire number in the sample. in other words, the measure of error is 1/sqr(876) what do you get ?
around .04
you need more decimals
then change to a percent by multiplying by 100
0.03378686892
around 3.4 % which is choice b
@phi
yes. and the 3.4% is the error in their 67% so the range is 67-3.4 to 67+3.4 or 63.6% to 70.4%
so b is correct @phi
yes
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