Maths Project 3 Assignment 2015

| October 3, 2018

This project will only use the Closing Values. Assume that the
closing prices of the stock form a normally distributed data set. This means
that you need to use Excel to find the mean and standard deviation and then use
those numbers and the methods you learned in sections 5.2 and 5.3 of our text
book for Normal distributions to answer the questions.

Complete this assignment within a single Excel file. Show your
work or explain how you obtained each of your answers.

1.
If a person bought 1 share of Google stock within the last year,
what is the probability that the stock on that day closed at less than the mean
for that year? Hint: You do not want to calculate the mean to answer this one.
The probability would be the same for any normal distribution.
2.
If a person bought one share of Google stock within the last year,
what isthe
probability that the stock on that day closed at more than $400?
3.
If a person bought 1 share of Google stock within the last year,
what isthe
probability that the stock on that day closed within $45 of the mean for that
year?
4.
Suppose a person within the last year claimed to have bought
Google stock at closing at $362.50 per share. Would such a price be considered
unusual? Be sure to use the definition
of unusual from our textbook
5.
At what prices would Google have to close at in order for it to be
considered statistically unusual? You should have a low and high value. ? Be sure to use the definition of unusual from
our textbook.
6.
What are Quartile 1, Quartile 2, and Quartile 3 in this data set?
Use Excel to find these values. This is
the only question that you should answer without using anything about the
Normal distribution.
7. Is
the normality assumption that was made at the beginning valid? Why or why not?
Hint: Does this distribution have the properties of a normal distribution as
described in our textbook? It does not need to be perfect. Real data sets are never perfect. However, it should be close. One option would
be to construct a histogram like we did in Project 1 and see if it has the
right shape. If you go this route,
something in the range of 10 to 12 classes would be a good number.

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