{[ promptMessage ]}

Bookmark it

{[ promptMessage ]}

Additional Examples.Topic 5.SampDist2

Additional Examples.Topic 5.SampDist2 - Sampling...

Info iconThis preview shows pages 1–3. Sign up to view the full content.

View Full Document Right Arrow Icon
Sampling Distributions……… .. We have a parent distribution with mean of 10,000 and std dev of 500. You are creating a sampling distribution with n=40 samples. Therefore, the mean of the sampling distribution will eaual the mean of the population and the standard deviation will be the standard deviation of the population divided by the sqrt of the sample size . This is also known as the “standard error” or designated by x σ . Once you’ve developed the parameters of the normal you’re working with and the “limits” from your probability statement , all you have to do is solve between those limits for the probability. Note here that in the past, my students would have been able to find the probabilities for Z = 2.53 and Z = -1.26 (or very close to them through interpolation), from the tables in the back of the book. I still think that you should be able to use the tables.
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
More discussion on the discrete joint, in relation to conditional probabilities
Background image of page 2
Image of page 3
This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}

Page1 / 4

Additional Examples.Topic 5.SampDist2 - Sampling...

This preview shows document pages 1 - 3. Sign up to view the full document.

View Full Document Right Arrow Icon bookmark
Ask a homework question - tutors are online