hey guys,
I have two questions
1. A normal distribution has mean 8 and standard deviation 3. Give the rule that maps the
curve of the density function to the density function of the standard normal.
2. Suppose that X is normally distributed with a mean of 11.3 and a standard deviation of 2.9.
The values of c1 and c2, such that Pr(c1 < X < c2) = 0.90. Find c1 and c2
Thanks!
The wording of the first question is far beyond what I would expect of a methods students (pretty sure a few of the people in my second year stats class don't know what half of those words mean...). However, it is just the normal rule to find the z-score - if
)
and
)
, then

The second one is a little annoying, and while I wouldn't expect to see it on an exam, it is definitely still in the realm of things you could be asked and what your school might ask.
So, we know that all distributions are symmetrical about the mean. So, if we can find the point where one side is equal to 0.45, we can find one point. We also know that the standard normal is symmetrical about the mean, so each of the values will be the same number, but one will be negative and one will be positive. So, if we can find the answer for the standard normal, we can then convert to the particular distribution we have now. (from this paragraph onwards, you might find it beneficial to draw a bunch of normal distributions and shade in the areas we're trying to find)
So, we define
)
, and then try to find
=0.9)
. Now, cutting this in half, what we want to find is
=0.45)
. Now, the final step is to turn this around - find the probability that Z is LESS than -d. When we do this, we're looking for 0.5-0.45=0.05 instead. This works in our favour, because now we can use the inverse normal function on our calculator. So, we find
=0.05 \implies d=1.645)
. Now, finally we just need to apply some transformations to get to the give normal distribution. So,

. Now, remember we need to do this for both a positive d and a negative d. The lower value will be c1, the upper value will be c2. This gives us
