Please explain how I set up and solve this problem:
For each of the populations would a score of x= 50 be considered a central score (near the middle of the distribution) or an extreme score (far out of the tail of the distribution ) is this set up x-u/o?

u=45 o= 10
u=45 o= 2
u= 90 o= 20
u= 60 o=20

If i have a problem that is a distribution with a mean of u=38 and a standard deviation of o=5 is transformed into a standardized distribution with u= 50 and o= 10. Now i need to find the new standardized score for each value from the original population. I have no clue how to set this up and solve it. Please explain in steps if possible.

original x= 39 transformed x=____
original x= 43 transformed x=____
original x= 35 transformed x=____
original x= 28 transformed x=____.

Solution Preview

1. An extreme score happens when z value is above 2 or below -2.
So if x=50, z=(50-45)/10=0.5 (central score)
if x=50, z=(45-45)/2=0 ...

Solution Summary

The solution gives detailed steps on determining central score and extreme score and transforming between two normal random variables. All steps are shown with brief explanations.

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... The shaded area represents the most extreme (positive) z-scores in the distribution, and in the area, represents 5% of the total area under the curve. ...

... In addition, when it comes to the extremes, the curve ... To obtain the Z score, we first subtracted the data ... standard curve by converting them into the Z scores. ...

... each of the following samples, compute the z scores for the ... is a typical, representative value or an extreme value for ... M= 67 for n=4 scores z=_____, which is ...