This paper circulates around the core theme of 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 sa together with its essential aspects. It has been reviewed and purchased by the majority of students thus, this paper is rated 4.8 out of 5 points by the students. In addition to this, the price of this paper commences from £ 99. To get this paper written from the scratch, order this assignment now. 100% confidential, 100% plagiarism-free.
Complete this assignment within a single Excel file. Show your
work or explain how you obtained each of your answers. Answers with no work and no explanation will
receive no credit.
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.
There are also 5 points
for miscellaneous items like correct date range, correct mean, correct SD, etc.
