Expert answer:Beauty Academy of South Florida Statistics Q&A Pap

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Computer Project Two
Fall 2019
Due Date: October 17th (at 1:45 PM)
Points Possible: 30
Self-selected groups of two students will work together to collect, enter, and
analyze stock prices from data collected from the Excel spreadsheet that I provided
in Canvas. As a group, use the physical mixing techniques discussed in class to
generate a simple random sample of 65 stocks with the following constraints:
1.
2.
Randomly select 40 stocks from the New York Stock Exchange “S” column
(stocks that begin with “S”).
Randomly select 25 stocks from the NASDAQ “R” column (stocks that begin
with “R”).
For each stock, record the Company name as shown in the paper (create a
variable called NAME with the ticker symbol of the company), the most recent
closing stock price (create a variable called CLOSE), the previous 52-week high
price (create a variable called HIGH), the previous 52-week low price (create a
variable called LOW), and the exchange that the stock is traded on (create a
variable called EXCHANGE that is 0 if NYSE and 1 if NASDAQ). Enter the stock
prices that you collect to two decimal places. Enter the stocks selected from both
exchanges into a single data set.
The following two pages should be printed and filled out and handed in during class
on the due date listed above. Attach the specified printouts to the back of the
project that you turn in. Please note, only one project per group should be
handed in. Each group member will get the same grade for the project.
Projects can be turned in to QMB 2100 Lab in CIS 1036 anytime they are open.
The project is due by 1:45 PM on Thursday, October 17th.
Group Member Name
Student
Number
Section (TR 11, TR 12:30,
M Night, or T Night)
Directions: Fill in the answer to the questions posed below. Attach the specified
printouts where indicated and turn in during class (or to the stat lab in CIS 2004)
on or before the due date posted at the top of this project. Please give specific
interpretations as generic answers will not receive full credit.
1.
Copy and paste a printout for a 94% confidence interval for the mean low price of all stocks on
both the NYSE and NASDAQ exchanges (you will show one confidence interval for all 65 stocks)
in the space provided below. Answer the following questions regarding this printout:
a. In the words of the problem, give a practical
interpretation of this interval.
Variable
Low
N
65
Lo 94% CI
14.451
Up 94% CI
73.136
b. Give a theoretical interpretation of the interval (i.e., explain what we mean when we say we are
“94% confident.”
2.
Copy and paste a 98% confidence interval for the mean high price of all stocks on the NASDAQ
exchange in the space provided. Answer the following questions regarding this printout:
a. What assumptions are necessary for this
confidence interval to be valid? Make sure
you use the words of the problem when
stating this assumption.
Descriptive Statistics of High by
Exchange
Exchange
0
1
N
40
25
Lo 98% CI
11.714
7.5888
Up 98% CI
146.56
67.781
b. Suppose I claim that the mean high price of all NASDAQ stocks was \$25. Based on the interval
you created, make a statement regarding my claim.
Create a normal probability plot and stem-and-leaf plot for the 65 closing prices observed in your
data set.
Normal Probability Plot of Close
1200
Ordered Data
3.
800
400
0
-3
-2
-1
0
1
Rankits
Shapiro-Wilk W 0.3720 P(W) 0.0000 65 cases
2
3
Stem and Leaf Plot of Close
Leaf Digit Unit = 10
10 0 represents 1000
Minimum
Median
Maximum
0.0200
20.270
1004.5
Depth
(59)
Stem Leaves
0
000000000000000000000001111111112222222222333444
45555667999
6
1 055
3
2 6
2
3
2
4
2
5 3
1
6
1
7
1
8
1
9
1
10 0
65 cases included
0 missing cases
a. Do the plots indicate that the closing prices are normally distributed? Why or why not?
b. Find the mean and standard deviation for the 65 low prices in your sample and provide the
printout below. Use these values as estimates of the mean and standard deviation found in the
population of all low prices. Suppose that the low prices were normally distributed (regardless of
what your data may indicate). Find the proportion of all low prices that would be between \$20 and
\$50 in the population. I want you to show your work. To receive full credit, you should include
pictures of the normal curve (labeled with both x and z-values) with the pertinent probabilities
shaded in the picture.
Variable
N
Mean
SD
X
Low
65
43.794
123.55
z
4.
Use the values found in the last problem as the mean and standard deviation of the population of
all low prices. Find the probability that in a sample of 100 stocks, the average low price in the
sample would be more than \$32.00. To receive full credit, you should include pictures of the
normal curve (labeled with both 𝑥̅ and z-values) with the pertinent probabilities shaded in the
picture.
𝑥̅
z

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