Chapter 11
Analysis of Variance
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1Chap 11-1
Analysis of Variance (ANOVA)
One-Way
ANOVA
Randomized
Block Design
F-test
2Chap 11-2
General ANOVA Setting
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Investig
University of Toronto at Scarborough
2010-11
A. Stawinoga
MGTC06F - INTERMEDIATE MANAGEMENT ACCOUNTING
GENERAL INFORMATION AND COURSE OUTLINE
Introduction
As with the prerequisite course (MGT B03),the
MGT C06F 2010-11 November 3, 2010
TEST SOLUTIONS
QUESTION 1
A. LPV = ($10 -11) x 423,300 DLH = $423,300 UNF
LEV
Work Done this period
Finish the BI, WIP: 20,000 x 60% = 12,000 eu
Started & finished 80
The following questions are from last years
midterm test. The time allowed was 90 minutes.
Solutions will be posted next week.
QUESTION 1
(
14
marks )
The Wengas Novelty Co. uses a standard cost syste
UNIVERSITY OF TORONTO
QUANTITATIVE METHODS IN ECONOMICS II
ECMB12H3F (LEC02)
MID-TERM TEST SOLUTIONS
DURATION: 90 MINUTES
OCTOBER 20, 2010
IMPORTANT:
(i)
This test should be answered in BALLPOINT PEN
14.3
14.9
(a)
(b)
Y 0.02686 0.79116 X1 0.60484 X 2
For a given measurement of the change in impact properties over time, each increase of one unit in
forefoot impact absorbing capability is estimated
13.3
(a)
(b)
When X = 0, the estimated expected value of Y is 16.
For each increase in the value X by 1 unit, you can expect a decrease in an estimated 0.5 units in the value
of Y.
(c)
Y 13
13.13
r2 =
10.2
(a)
t STAT 3.8959
(b)
(c)
(d)
d.f. = 21
Decision rule: d.f. = 21. If tSTAT > 2.5177, reject H0.
Decision: Since t = 3.8959 is greater than the critical bound of 2.5177, reject H0. There is enough
9.1
Other things being equal, the closer the hypothesized mean is to the actual mean, the larger the risk of committing
a Type II error will be.
9.3
Decision rule: Reject H0 if Z STAT < 1.645 or Z STA
Chapter 15
Multiple Regression
Model Building
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1Chap 15-1
Nonlinear Relationships
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The relationship between the dependent
variable and an independent variable m
Chapter 13
Simple Linear Regression
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1Chap 13-1
Correlation vs. Regression
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A scatter plot can be used to show the
relationship between two variables
Correlation