Answer:
a) 
b) 
c)
And we can find this probability using the complement rule and the normal standard distribution or excel and we got:
Step-by-step explanation:
Previous concepts
Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".
The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".
Part a
Let X the random variable that represent the amount of money of a population of interet, and we know the following info:
Where
and
We can assume that the sample size is large and the estimators can be used as a good description for the parameters 
The z score for 40000 would be:

Part b
The z score for 50000 would be:

Part c
We are interested on this probability
And the best way to solve this problem is using the normal standard distribution and the z score given by:
If we apply this formula to our probability we got this:
And we can find this probability using the complement rule and the normal standard distribution or excel and we got:
Answer:
Step-by-step explanation:bbbbbbbbb the answer is bbbbbbbbbbb
Answer:
Draw a square with each side labeled 6.
If each side is 6 than the number has to be a square.
Prime factors of 42: 2x7x3
prime factors of 126: 2x3x3x7
prime factors of 210: 7x3x5x2
now we multiply all the factors that they all have in common: 2x3x7 which is 42. So the highest common factor is 42