95% confidence interval on the mean

eterna
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Homework Statement



What does it mean?

Is this the interval such that 95% of the means from a sample mean distribution (frequency distribution of means of sample size n) are a certain number of standard deviations from the population mean?

Homework Equations


The Attempt at a Solution

 
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eterna said:

Homework Statement



What does it mean?

Does this mean that 95% of the means from a sample mean distribution (frequency distribution of means of sample size n) are a certain number of standard deviations from the population mean?

Homework Equations





The Attempt at a Solution


A 95% confidence interval is an interval that has a 95% chance of overlapping the true, unknown population mean μ. In other words, if you were to repeat the sampling experiment many times you would get many different intervals, but about 95% of them would contain the true mean somewhere inside them. See, eg., http://en.wikipedia.org/wiki/Confidence_interval and look especially at the section entitled "Meaning and Interpretation".
 
Ray Vickson said:
A 95% confidence interval is an interval that has a 95% chance of overlapping the true, unknown population mean μ. In other words, if you were to repeat the sampling experiment many times you would get many different intervals, but about 95% of them would contain the true mean somewhere inside them. See, eg., http://en.wikipedia.org/wiki/Confidence_interval and look especially at the section entitled "Meaning and Interpretation".


so was what I said a completely wrong way of thinking about it?
 
eterna said:
so was what I said a completely wrong way of thinking about it?

I could not make any sense of what you were saying.
 
There are two things I don't understand about this problem. First, when finding the nth root of a number, there should in theory be n solutions. However, the formula produces n+1 roots. Here is how. The first root is simply ##\left(r\right)^{\left(\frac{1}{n}\right)}##. Then you multiply this first root by n additional expressions given by the formula, as you go through k=0,1,...n-1. So you end up with n+1 roots, which cannot be correct. Let me illustrate what I mean. For this...
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