sample size

**AnnM** · May 8th 2008, 01:07 AM

I just got a strange result...

1. I have the standard deviation = 200
2. I know the mean of the sample is at most 100 more than the mean of the population.

I must find the size of the sample with 95% confidence.

I thought that #2 meant the standard error for the mean was 100;

$s_{\bar{x}} = \frac{s}{\sqrt{n}}$

$100 = \frac{200}{\sqrt{n}}$

But it leads to;

$n = 4$

Also, with this method I can't get any confidence interval.

**CaptainBlack** · May 8th 2008, 11:15 AM

Originally Posted by AnnM

I just got a strange result...

1. I have the standard deviation = 200
2. I know the mean of the sample is at most 100 more than the mean of the population.

I must find the size of the sample with 95% confidence.

I thought that #2 meant the standard error for the mean was 100;

$s_{\bar{x}} = \frac{s}{\sqrt{n}}$

$100 = \frac{200}{\sqrt{n}}$

But it leads to;

$n = 4$

Also, with this method I can't get any confidence interval.

Suppose the samplw size is $n$ , the assume large sample statistics so:

$m\sim N(\mu,\sigma^2/n)$

Now our confidence interval $[n_1,n_2]$ is chosen so that for any $n \in [n_1,n_2]$

$p(m>\mu+100|n)<0.05$

That is for any $n \in [n_1,n_2]$ the probability of getting a result worse than that actually observed is less than $5\%$ .

RonL

**AnnM** · May 8th 2008, 10:20 PM

Thank you for your answer, but I don't really get your notation.

I have the standard deviation of the sample, s = 200

The mean of the sample is at most 100 more than the mean of the population. I interpret that as = the standard error of the mean is 100.

The equation for the standard deviation for the mean is

$ s_{\bar{x}} = \frac{s}{\sqrt{n}} $

...but it seems that I can't extract n from there (well, I can with a little algebra but the answer makes no sense). Why ? Beside, even if I could get 'n' from the equation, I would have no interval of confidence.

**CaptainBlack** · May 8th 2008, 10:43 PM

Originally Posted by AnnM

Thank you for your answer, but I don't really get your notation.

I have the standard deviation of the sample, s = 200

The mean of the sample is at most 100 more than the mean of the population. I interpret that as = the standard error of the mean is 100.

The equation for the standard deviation for the mean is

$ s_{\bar{x}} = \frac{s}{\sqrt{n}} $

...but it seems that I can't extract n from there (well, I can with a little algebra but the answer makes no sense). Why ? Beside, even if I could get 'n' from the equation, I would have no interval of confidence.

Sorry I had misread the question

$ p(m>\sigma+100|n)<0.05$

should be:

$ p(m>\mu+100|n)<0.05$

Which gives us a nicer condition:

$ p(m-\mu >100|n)<0.05$

$ p\left(\frac{m-\mu}{\sqrt{n} \sigma} >\frac{1}{2\sqrt{n}}\right)<0.05$

RonL

**AnnM** · May 9th 2008, 07:57 AM

I don't understand why my reasoning doesn't work.

I have no idea how you got to your equation.

And even if I did, we don't have the information to solve it.

In short, the equation for the interval should be;

$ \left[\bar{x} - 1.96\frac{200}{\sqrt{n}};\bar{x} + 1.96\frac{200}{\sqrt{n}}\right] $

But, as I don't have the mean, I can't get the sample size.

**AnnM** · May 9th 2008, 10:39 AM

In fact, I got;

$ n = \left[\frac{Z_{a/2}s}{s_x}\right]^2 = \left[\frac{1.96(200)}{100}\right]^2 = 15.37 $

It doesn't seem to make sense either...

**TKHunny** · May 9th 2008, 01:08 PM

d = 100

Why doesn't n = 16 make sense?

If only we had the entire problem statement...

**AnnM** · May 12th 2008, 07:22 AM

Originally Posted by TKHunny

Why doesn't n = 16 make sense?

Because;

$ $ $s_{\bar{x}} = \frac{s}{\sqrt{n}}

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