COURSE SECTION INFORMATION
Quantitative Methods II
Professional Accounting Program
Professor’s
Name:
Kevin Murphy, C.A.
Email:
murphyk@algonquincollege.com
Phone:
613-727-4723 ext. 5835
Office:
B225d
Out of Class
Assistance:
Tue 2-3, Wed 12-1, Th 10-11 & 2-3
Course
Number:
Course
Section:
QUA5152
010
Academic Year: 2010
Term:
Academic
Level:
Fall
1
Section Specific Learning Resources
 “Basic Business Statistics for Business and Economics”; by Lind, Marchal,
Wathen, and Waite; published by McGraw-Hill Ryerson; 3nd Canadian edition,
2010
 Electronic Hand calculator
 Statistical software (Excel, Megastat, or other software)
 www.lyryx.com
 Other related materials will be provided to the student as required.
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Learning Schedule
Tentative Weekly Schedule:
Week
One
Class Topic – Chapter Reference
1
2
3
Two
1
2
3
Three
1
2
3
Four
1
2
3
Five
1
2
3
Six
1
2
3
Evaluation
Weight
Course Introduction
Chapter 1
 Definitions, Charts
Chapter 2
 Frequency Distribution and OGIVE
Chapter 3
 Averages: Arithmetic Mean, Median and Mode
Chapter 3
 Geometric Mean, Range, Standard Deviation and
variance
Chapter 3
 Coefficient of variation and Skewness
Chapter 4
 Introduction to Probability
Chapter 4
 Rules of Addition and Multiplication
 Concepts of Mutually Exclusive and Independence
Chapter 4
 Contingency Table, Bayes’ Theorem
Chapter 4
 Contingency tables
Chapter 5
 Binomial Probability Distribution
 Discrete Random Variable
Chapter 5
 Hypergeometric Probability Distribution
 Poisson Probability Distribution
Chapter 6
 Normal Probability Distribution
Chapter 6
 Normal Approximation
Chapter 7
 Sampling Methods
Chapter 7
 Central Limit Theorem
Chapter 7
 Sampling Methods
 Review
TEST 1
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Seven
1
2
3
Eight
1
2
Nine
1
2
3
Ten
1
2
3
Eleven
1
2
3
Chapter 8
 Point Estimates and Confidence Intervals means
Chapter 8
 Point Estimates and Confidence Intervals
Proportion
 Small sample : t
Chapter 8
 Sample size mean and proportion
Chapter 8
Chapter 9
 5 Step Procedure for Testing a Hypothesis –
Population Mean
Chapter 9
 One-Tailed and Two-Tailed Tests
 Large and Small Sample Sizes
 Known and Unknown Population Standard
Deviation
 P-Value and Type 1 and 2 erro
Chapter 10
 Two Sample Test of Hypothesis
 Large and small sample mean
 Large Sample Proportions
Chapter 12
 Estimation of Simple linear regression and
correlation
 Standard Error
 Confidence interval for the slope
Chapter 12
 Confidence Interval for the expected value of Y
given a value of X
 Prediction Interval for the individual value of Y
given a value of X
Chapter 12
 Hypothesis Testing for Regression and Correlation
Chapter 13
 Multiple Regression equation
 Multiple Correlation
Chapter 13
 Test for overall validity of multiple model
 Test for contribution of each independent variable
Chapter 13
 The ANOVA Table
 Stepwise regression
Chapter 15 on CD
 Index # Introduction
 Price, Quantity and Value index
 Unweighted Aggregate Price Index
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Twelve
1
2
3
Thirteen
1
2
3
Fourteen
1
2
3
Chapter 15 on CD
 Weighted Price Index: Laspayres, Paache, Fisher
Chapter 15 on CD
 Consumer Price Index: Purpose, Purchasing Power
 Real Income
Chapter 16 on CD
 Time Series: Trend, Seasonal, Cyclical, Irregular
 Trend analysis: Least Squares Equation,
 Interpretation of Coefficients
Chapter 16 on CD
 Analysis of Cyclical, Seasonal and irregular
 Forecasting Annual and Seasonal
 Deseasonalized Data
Chapter 17 on CD
 Decision Theory: events, state of nature, payoff
table

 Expected Monetary Value and Opportunity Loss
 Assess the expected value of information
Blackboard Notes
 Linear Programming
Blackboard Notes
 Graphical linear programming
Review
Fifteen
Comprehensive Final Exam
Evaluation Summary and dates
The following will provide evidence of your achievement:
Item
Lyryx Assign.
Midterm
Final Exam
Weight
30%
30%
40%
Date
As scheduled
Week 7
Week 15
Key dates and deadlines:
Item
Midterm
Final exam
Date
Week 7
Week15
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40%
Course Learning Requirement (CLR) – Evaluation Link
Evaluation
Assignments ( Lyryx)
Term Tests
Final Exam
Course learning Requirement (CLR)
CLR1, CLR2, CLR3, CLR4, CLR5, CLR6
CLR1, CLR2, CLR3, CLR4,
CLR1, CLR2, CLR3, CLR4, CLR5, CLR6
Learning Activities:








attending lectures;
participating in class discussions;
asking questions;
reading the textbook;
using the companion website to the course textbook;
monitoring media coverage of economic events;
seeking additional assistance during scheduled faculty consultation hours; and
Completing the online homework assignments.
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