Visit the NASDAQ historical prices weblink. First, set the date
range to be for exactly 1 year ending on the Monday that this
course started. Use March 18, 2018 – March 19, 2019. Do this by
clicking on the blue dates after “Time Period”. Next, click the
“Apply” button. Next, click the link on the right side of the page
that says “Download Data” to save the file to your computer.
This project will only use the Close 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. Then, use those numbers and the methods you learned in
sections 6.1-6.3 of the course textbook for normal distributions to
answer the questions. Do NOT count the number of data points.
Complete this portion of the 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. a) Submit a copy of your dataset along with a file that contains
your answers to all of the following questions.
b) What the mean and Standard Deviation (SD) of the Close column in
your data set?
c) 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. (5 points)
2. 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 more
than $1150? (5 points)
3. If a person bought 1 share of Google stock within the last year,
what is the probability that the stock on that day closed within
$50 of the mean for that year? (Hint: this means the probability of
being between 50 below and 50 above the mean) (5 points)
4. 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 $900 per share. Would this be considered unusal? Use the
definition of unusual from the course textbook that is measured as
a number of standard deviations (5 points)
5. At what prices would Google have to close in order for it to be
considered statistically unusual? You will have a low and high
value. Use the definition of unusual from the course textbook that
is measured as a number of standard deviations. (5 points)
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 must answer without using anything about the normal
distribution. (5 points)
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 the course
textbook? Real data sets are never perfect, however, it should be
close. One option would be to construct a histogram like you did in
Project 1 to see if it has the right shape. Something in the range
of 10 to 12 classes is a good number. (5 points)
Visit the NASDAQ historical prices weblink. First, set the date range to be for exactly 1...
Visit the NASDAQ historical prices weblink. First, set the date range to be for exactly 1 year ending on the Monday that this course started. For example, if the current term started on April 1, 2018, then use April 1, 2017 – March 31, 2018. (Do NOT use these dates. Use the dates that match up with the current term.) Do this by clicking on the blue dates after “Time Period”. Next, click the “Apply” button. Next, click the link...
Visit the NASDAQ historical prices weblink. First, set the date range to be for exactly 1 year ending on the Monday that this course started. For example, if the current term started on April 1, 2018, then use April 1, 2017 – March 31, 2018. (Do NOT use these dates. Use the dates that match up with the current term.) MY DATES ARE MARCH 18 2018 - MARCH 19 2019 Do this by clicking on the blue dates after “Time...
continuation to previous question PROJECT 3 INSTRUCTIONS Based on Brase & Brase : sections 6.1-6.3 Note that you must do this Visit the NASDAQ historical prices weblink. First, set the date range to be for exactly 1 year ending on that says "Download Data" to save the file project on your to your computer This project will only use the Close values. Assume that the closing prices of the stock form a normally distributed data set. This means that you...
Visit the NASDAQ historical prices weblink. UPDATE: Copy and Paste https://finance.yahoo.com/quote/GOOG/history/ Or here are the numbers 1175.76 1142.32 1143.3 1157.86 1162.03 1147.8 1140.99 1119.92 1116.05 1115.13 1109.4 1110.37 1096.97 1113.8 1118.56 1113.65 1121.67 1120.16 1121.37 1095.01 1095.06 1098.71 1115.23 1145.99 1132.8 1110.75 1116.37 1089.06 1060.62 1070.08 1090.99 1073.9 1075.57 1070.52 1098.26 1089.9 1080.97 1077.15 1044.69 1057.19 1070.33 1074.66 1076.28 1068.39 1070.71 1016.06 1045.85 1035.61 1037.08 1043.88 1039.46 976.22 979.54 1009.41 1023.01 1028.71 1016.53 1042.1 1061.9 1063.68 1051.75 1039.55 1036.58 1068.73...
True or False (1 point each) (Correct the ones that are false) The purpose of an interval estimate is to provide information about how close a point estimate, i.e. sample statistic, is to the population parameter. If the population standard deviation is unknown and cannot be estimated from historical data, an interval estimate for the population mean can be constructed by substituting the sample standard deviation and using the t distribution instead of the normal distribution. You cannot determine a...
PROBLEM SET 2 (Due date: after the class on June 11) 1. Suppose that the mean price per liter of regular gas(oline) sold in Korea is 1,200 Won Now assume the population mean price per liter is 1, 200, and the population standard deviation is o = 400. Suppose that a random sample of 500 gas stations will be selected, and a sample mean price per liter will be computed for data collected from the 500 gas stations. (a) Show...
Use the data set here (Links to an external site.) for this question. The data set contains a sample showing the number of times a website was visited/viewed in one day; each observation corresponds to one day. a) The point estimate for the mean number of website views is [ Select ] . b) The sample standard deviation is [ Select ] . c) Suppose that the sample mean equals the true mean. Suppose that website views follow a Poisson...
- 07 sampling 's for review-SET 1 FOR POSTING.pdf 0 3 . 12 QUESTION 1 - TESTING WEATHER STATIONS FOR MARS A company has signed a contract to develop a "weather station” for use on Mars. It will continually measure temperature and wind speed. It must work in extreme cold and in the presence of fine dust, for one Martian year. The company wants to test its design, by building several prototypes, and subjecting the prototypes in a lab to...
07 sampling for review-SET 1 FOR POSTING 3 . 12 QUESTION 1 - TESTING WEATHER STATIONS FOR MARS A company has signed a contract to develop a "weather station" for use on Mars. It will continually measure temperature and wind speed. It must work in extreme cold and in the presence of fine dust, for one Martian year. The company wants to test its design, by building several prototypes, and subjecting the prototypes in a lab to conditions similar to...