Answers

2015-04-13T17:46:57+05:30
Use standard error formula 
\text{standard error} = \dfrac{\sigma}{\sqrt{n}}

where \sigma = \text{population standard deviation}
n = \text{sample size}
0
2015-04-15T05:47:47+05:30

This Is a Certified Answer

×
Certified answers contain reliable, trustworthy information vouched for by a hand-picked team of experts. Brainly has millions of high quality answers, all of them carefully moderated by our most trusted community members, but certified answers are the finest of the finest.
The standard error of the mean  or SEM it is called is estimated by the following formula:

 SEM = σ / √n        where σ = standard deviation of the population  and n is the number of elements in the sample taken.  ie., the sample size.

If the standard deviation of the population is not available then, we use the standard deviation of the sample,  this is another way of estimating the standard error.

SEM = 25/√50 = 3.53

So the population mean  is supposed to be within the mean of the sample  + or - of 3.53.  So we know the mean of the sample, then we say with some confidence that the population mean lies within this range.

Normally we use the standard deviation of the sample and not the population to estimate the SEM.
1 5 1