Hi jeffstud!
Here are the answers to your questions.
Question 1
At the following link (under part 2) you'll find how the mean and
variance of the sample mean relates to the mean and variance of the
population.
Distribution of the Sample Mean
http://www.ms.uky.edu/~viele/sta417s00/sampdist/sampdist.html
Specifically, we have that, if the population variance is ?^2, then
the variance of the sample mean is ?^2/n. Therefore, the standard
deviation of the distribution of sample means is simply ?/sqrt(n)
[sqrt() means square root of]. In this case, with n=100,
?/sqrt(100) = ?/10
Therefore, the standard deviation of the sample mean is ten times
smaller than the standard deviation of the population. As the sample
size grows, this std. dev. gets smaller.
Question 2
Calling X the time needed to finish the race, we have that X~N(61,9).
We want to find here
Prob(X < 55)
In order to find this probability, we need to use a standard normal
distribution table. You can find one in any Statistics book or at the
following link
z-distribution
http://www.math2.org/math/stat/distributions/z-dist.htm
Since the table gives the probabilities for the standard normal
distribution, we must first "convert" X to a standard normal
distribution by subtracting its mean and dividing it by its standard
deviation. So we have that:
Prob( X < 55 )
=Prob( (X-61)/9 < (55-61)/9 )
=Prob( Z < -0.666 )
I renamed (X-61)/9 as Z because the variable "(X-61)/9" follows a
standard normal distribution (that is, a normal distribution with mean
0 and variance 1).
Now we look up the value -0.666 in the table, getting that:
Prob(Z < -0.666) = 0.254
Therefore, 25.4% of the people finish the race in less than 55 minutes.
In order to answer the second part of this question, we make use of
the results we found in the question 1. Calling Xbar to the sample
mean, we know that Xbar follows a normal distribution with mean 61 and
standard deviation 9/sqrt(25)=1.8. So Xbar~N(61,1.8). We solve this in
the exact same way as before:
Prob(Xbar < 55)
=Prob( (Xbar-61)/1.8 < (55-61)/1.8 )
=Prob(Z < -3.33)
=0.00043
Therefore, 0.043% of the sample means are less than 55 minutes.
Question 3
This question is solved in the same way as before:
Prob(60 < X < 62)
=Prob(X<62) - Prob(X<60)
= (subtract the mean and divide by std. dev. ...)
=0.5442 - 0.4557
=0.0884
So 8.84% of the people finish in between 60 and 62 minutes.
We're also asked to find:
Prob(60 < Xbar < 62)
=Prob(Xbar<62) - Prob(Xbar<60)
= (subtract the mean and divide by std. dev. ...)
=0.4214
Thus, 42.14% of sample means fall between 60 and 62.
Google search terms
"normal distribution" table
://www.google.com/search?hl=en&q=%22normal+distribution%22+table&btnG=Google+Search
"sample mean" properties |