MA 321
TEST I
PART II
M.KUDINOV
FIT
YOUR NAME_Tiffany Wang_
Write the answer over the lines. Do not change the format of the test.
Select a correct answer by putting a yellow color. Do not use red color.
Referring to Golfbal problem
1. The number of facto
Problem 16.7 treasury.xls
page 655
page 255
Moving average an exponential smoothing problem.
Your name_ Tiffany Wang
The following data represent the thre-month Treasury bill rates in the United States from 1991 to 2008
Year
1991
1992
1993
1994
1995
1996
Problem 15.3 page621
Problem 3 page 219
dispraz.xls
The marketing department wants to study the effect of price on the sales of packages
of disposable razors. A sample of 18 stores is selected. The number of packages sold over
a full week and the price at
Problem 11.24 page 448
Problem24 page 29
pain-relief.xls
Your grade
An experiment was performed to investigate the time required for pain-relief tablets to dissolve in a glass of water.
The two factors of interest were brand name and temperature of water.
Problem 13.8 page 523
Problem 8 page 112
out of 100%
Your grade
Introduction
The value of a sports franchise is directly related to the amount of revenue that a franchise can generate.
The data int the table represent the value (in million of dollars) and
Problem 16.30 GE.xls
Autoregression
page 677
page 275
Your name_Tiffany Wang
The data in the table represent the January 1 stock price for the 23-year period fro 1987 to 2009
for General Electric, one of the world's largest companies.
Year
1987
1988
1989
Problem 11.24 page 448
Problem24 page 29
pain-relief.xls
Your grade
An experiment was performed to investigate the time required for pain-relief tablets to dissolve in a glass of water.
The two factors of interest were brand name and temperature of water.
Problem 14.43 page 600
Problem 43 page 192
out of 100
Your grade
Introduction
The owner of a moving company would like to develop a model of predicting
the labor hours that is required to complete a move by using the number
of cubic feet moved and whether
Pr 11.12 page 435
Pr 12 page 16
pen.xls
Your grade
An experiment is designed to compare the effects of five different advertisements on product perception.
A sample of 30 respondents are taken from a larger group. After reading the advertisement all respo
Pr 11.12 page 435
Pr 12 page 16
pen.xls
Your grade
An experiment is designed to compare the effects of five different advertisements on product perception.
A sample of 30 respondents are taken from a larger group. After reading the advertisement all respo
Tiffany Wang
Review questions for the final exam
1. Describe the regression equation (types, forms, coefficients, other names, properties)
The regression equation is used to establish the relationship between the variables in the
problem. There are simple
Problem 11.24 page 448
Problem24 page 29
pain-relief.xls
An experiment was performed to investigate the time required for pain-relief tablets to dissolve in a glass of water.
The two factors of interest were brand name and temperature of water. The experi
Ch. 3 - Profit & Loss (P&L) Statement or Operating Statement
Gross Sales
- Customer
Returns
= Net Sales
- Cost of
Merchandise
Sold
(these are your
purchases/buys)
Total sales $
%
What we are left with
May also include:
+ freight/shipping costs
+ cash disc
Test II
MA 321
NAME Nicole Perry
Calculate and answer the questions below
Warning
The output can overwrite questions: take care !
Problem 1.
gpigmat.xls
Problem 13.78 page 558
Problem78 page 147
The director of graduate studies would like to predict
the g
Problem 15.3 page621
Problem 3 page 219
dispraz.xls
The marketing department wants to study the effect of price on the sales of packages
of disposable razors. A sample of 18 stores is selected. The number of packages sold over
a full week and the price at
MA 321
TEST I I
PART II
M.KUDINOV
FIT
YOUR NAME: Nicole Perry
In the Gpigmat
1. The number of independent variables is 21.
2. The number of dependent variables is 1.
3. A line on the scatter diagram shown by points indicates that there is a
relationship b
inches)
x
Height (in inches) regression line
y
slope b
intercept a
10
72
1.77
9
60
9.2
66
10.5
66 PREDICTIONS
8.75
65 x
y
8.5
59
9 65.14
10
65
6.5
60 inches
8
65
9.5
64
8
65
10
69
80
9.25
67
8.25
68
70
9.5
66
49.24
60
50
r
on the given data.
0.5278471597
Formulas for MA 222
z=
data mean
stddev
Normal distribution:
z=
p -distribution:
z=
x
p
(1 )
n
z=
x -distribution:
x
n
Confidence Intervals for Proportions:
p E
where E = z *
p (1 p )
n
80% confidence level:
z * = 1.28
90% confidence level:
z * = 1.65
SUMMARY OUTPUT
Regression Statistics
Multiple R
0.634342
R Square
0.402389 (*R square*How well gpa(y) is a good predit for the high school predictor(x).
Adjusted R Square
0.342628 In this case 40.2% of the variation in college gpa is determined by the hig