MAS 202
Exam 3
Spring 2013
1.
Name _
Fredrickson Service provides maintenance services for water filtration systems. They have attempted to
predict the time to complete a repair call based on the months since the last service and the type of repair (0
= m
From 2008 to 2013:
Has there been a significant change in the proportion of students from outside of
Florida?
Results for: Population 2008
Tally for Discrete Variables: INOUT
INOUT
IN
OUT
N=
Count
4322
5054
9376
Percent
46.10
53.90
Test and CI for One Pro
1.
Did the statistician choose the correct design? (i.e did blocking on golfer help?)
Explain.
2.
A researcher wanted to know whether the distribution of correct answers in the
test bank included in a popular textbook was random or not. He examined two
hu
INTERMEDIATE BUSINESS STATISTICS
MAS 202
FALL 2016
INSTRUCTOR:
Dr. Mary McKenry
TEXT:
Anderson, Sweeny and Williams, Statistics for Business and
Economics (2012), 12th edition.
OFFICE:
417 KE Business Faculty Wing (305) 284-1976
CELL:
(305) 725-5754
EMAIL
W . F. Younkin
MAS 202 Key
Take Home Quiz #3
Figure 1
Distributions of SAT Math Scores 2006 and 2011
SAT Math 2006
SAT Math 2011
20
15
15
P e rce nt
25
20
P e rce nt
25
10
10
5
5
0
200
300
400
500
SA T Math
600
700
0
200
800
300
400
500
SA T Math
600
Figu
4. In an experiment designed to test the output levels of three different treatments,
the following results were obtained: SST _ 400, SSTR _ 150, nT _ 19. Set up the
ANOVA table and test for any significant difference between the mean output
levels of the
MAS 202 R
Two-way ANOVA: Stress versus System, Controller
Source
System
Controller
Error
Total
DF
2
5
10
17
S = 1.378
R-Sq = 72.86%
System
1
2
3
Mean
13.5
13.0
15.5
Controller
1
2
3
4
5
6
SS
21
30
19
70
MS
10.5
6.0
1.9
F
5.53
3.16
P
0.024
0.057
R-Sq(adj)
MAS 202
Test for Equal Variances: Machine1, Machine2
95% Bonferroni confidence intervals for standard deviations
Machine1
Machine2
N
25
22
Lower
0.166897
0.057022
StDev
0.221109
0.076820
Upper
0.323646
0.116025
F-Test (Normal Distribution)
Test statistic
MAS 202
Regression Analysis: FatalAcc versus Under 21
The regression equation is
FatalAcc = - 1.60 + 0.287 Under 21
Predictor
Constant
Under 21
Coef
-1.5974
0.28705
S = 0.589350
SE Coef
0.3717
0.02939
R-Sq = 70.5%
T
-4.30
9.77
P
0.000
0.000
R-Sq(adj) = 69
Biscayne Research Group Inc.
William F. Younkin, Ph.D.
President
MEMORANDUM
To:
From:
Subject:
Date:
Admissions Committee
W. F. Younkin
Undergraduate Student Body Changes 2003 - 2007
October 9, 2008
In order to answer the questions that you posed regardin
W . F. Younkin
MAS 202 Key
Take Home Quiz #3
Figure 1
Distributions of SAT Math Scores 2006 and 2011
SAT Math 2006
SAT Math 2011
20
15
15
P e rce nt
25
20
P e rce nt
25
10
10
5
5
0
200
300
400
500
SA T Math
600
700
0
200
800
300
400
500
SA T Math
600
Figu
2-Sample t: Annual Salary (million) by Married
Method
: mean of Annual Salary (million) when Married = No
: mean of Annual Salary (million) when Married = Yes
Dierence: -
Equal variances are not assumed for this analysis.
Descriptive Statistics: Annual S
Descriptive Statistics: Annual Salary (million), Number of goals scored to date,
Number of games played to date, Number of penalty shots taken
Statistics
Variable
Annual Salary (million)
Number of goals scored to date
Number of games played to date
Number
1-Sample t: Annual Salary (million)
Descriptive Statistics
N
50
Mean
19.526
StDev
16.053
SE Mean
2.270
: mean of Annual Salary (million)
Test
Null hypothesis
Alternative hypothesis
T-Value
-0.21
P-Value
0.5823
H: = 20
H: > 20
95% Lower
Bound for
15.720
Multiple Regression Analysis
The National Basketball Association (NBA) records a variety of statistics
for each team. Four of these statistics are the proportions of games won
(PCT), the proportions of field goals made by the team (FG %), the
proportion o
CH 15 MULTIPLE REGRESSION ANALYSIS AND MODEL BUILDING
Case 15.2
Glaser Machine Works
Glaser Machine Works has experienced a significant change in its business operations over the past 50
years. Glaser started business as a machine shop that produced speci
Versus Fits
(response is number of defects)
10
Residual
5
0
-5
-10
-15
20
25
30
35
40
Fitted Value
Scatterplot of number of defects vs processing rate
45
40
number of defects
35
30
25
20
15
10
5
200
250
300
350
400
processing rate
450
500
550
Scatterplot
Chapter15
MultipleRegression
1.
a.
b1=.5906isanestimateofthechangeinycorrespondingtoa1unitchangeinx1whenx2isheld
constant.
b2=.4980isanestimateofthechangeinycorrespondingtoa1unitchangeinx2whenx1isheld
constant.
b.
4.
a.
y
y
=29.1270+.5906(180)+.4980(310)=
University of Miami
MAS 202
Review Exam #2
1. A study compared display panels used by air controllers. Each display
panel was tested for each simulated emergency condition. Two
controllers were randomly assigned to each display panel-emergency
condition c
Chapter13
ExperimentalDesignand
AnalysisofVariance
a.
=(156+142+134)/3=144
x
k
=6(156144)2+6(142144)2+6(134144)2=1,488
SSTR n j x j x
j
1
b.
c.
2
MSTR=SSTR/(k1)=1488/2=744
s12
=164.4
2
s2
k
=131.2
2
s3
=110.4
=5(164.4)+5(131.2)+5(110.4)=2030
SSE ( n j 1)