SOLUTION: As a sample size approaches infinity, how does the student�s t distribution compare to the normal z distribution? When a researcher draws a sample from a normal distribution, what

Question 428109: As a sample size approaches infinity, how does the student�s t distribution compare to the normal z distribution? When a researcher draws a sample from a normal distribution, what can one conclude about the sample distribution? Explain
Answer by stanbon(75887) (Show Source): You can put this solution on YOUR website!
As a sample size approaches infinity, how does the student�s t distribution compare to the normal z distribution?
The t distribution approaches the z distribution as a limit.
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When a researcher draws a sample from a normal distribution, what can one conclude about the sample distribution? Explain
The Central Limit Theorem guantees that the mean of the sample means
is the same as the mean of the population and the std of of the sample
means is the population mean divided by sqrt(sample size)
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Cheers,
Stan H.

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