CHAPTERFIVE
DiscreteDistributions
141
C
1.
Discrete Distributions
Variables which take on values only at certain points over a
given interval are called _.
E
Term
A.
B.
C.
D.
B
A variable that can take on values at any point over a given
interval is calle
File: Ch13, Chapter 13: Basic Multiple Regression Analysis
True/False
1. Regression analysis with one dependent variable and two or more independent variables is
called multiple regression.
Ans: True
Response: See section 13.1 The Multiple Regression Mode
CHAPTER TEN
Statistical Inferences about Two Populations
D
M
BApp
1.
Restaurateur Denny Valentine is evaluating two sites, Raymondville and
Rosenberg, for his next restaurant. Prevailing images of the two suburbs imply
that Raymondville residents (populat
Welcome to BU 255!
BU 255 = Managerial
Statistics
Fall 2014
Ignacio Castillo, Ph.D.
Ground Rules
Stop talking when lecture begins
Lectures will begin and end on time
No reading of newspapers, social media,
wearing headphones, sleeping, etc., in
class
If I
Chapter 10 - Monetary Policy
BOC created 1935 due to experiences of Great Depression
Since 1938 = crown corporation; owned by Federal Government
- Designs, produces and distributes bank notes
- Oversees the payment system to ensure the stability of the fi
Chapter 11: Fiscal Policy
Most countries limited by large explicit government debt and implicit obligations (important in aging societies)
Fiscal multipliers are small
Goals of fiscal policy:
- Promote smooth functioning of the economy
- Reduce cyclical f
CHAPTER SEVEN
Sampling and Sampling Distributions
B
1.
E
Term
D
E
Term
Saving time and money are reasons to take a _ rather than a
census.
A.
B.
C.
D.
2.
poll
sample
profile
Fishbone
Which of the following is NOT a reason for using a sample, rather than a
CHAPTER NINE
Statistical Inference:
Hypothesis Testing for Single Populations
B
1.
M
Term
C
E
Term
Hypothesis testing is derived from the mathematical notion of _.
A.
B.
C.
D.
2.
direct proof
indirect proof
margin of error
infinity
The first step in testi
CHAPTER EIGHT
Statistical Inference: Estimation for Single Populations
B
1.
M
Term
A
E
Term
When a statistic calculated from sample data is used to estimate a population
parameter, it is called _.
A.
B.
C.
D.
2.
an interval estimate
a point estimate
a sta
Chapter 4
1. D
2. B
3. A
4. A
5. B
6. B X C ANALYSIS REFERS TO CLASSICAL
7. A
8. C
9. B X D BASED ON EVENT IS CLASSICAL
10. C
11. D
12. B
13. A
14. B
15. A
16. D
17. B REPLACEMENT MATTERS
18. D
19. A
20. A
21. D
22. A X B UNION REFERS TO X OR Y OR BOTH
23
Chapter 9 The ISIC model
Model is now richer, allows to determine equilibrium level and output and real interest rates
IS curve shows equilibrium in the goods market where planned expenditures = real interest rates
Interest affects level of LT real intere
Chapter 8 Unemployment
1970s inflation biggest problem
Interest rates became a big problem since they reached unprecedented levels (20% of mortgages)
1980s budget deficits
Slow growth, falling exchange rate, rising exchange rate, poverty but main one is u
Chapter 6
Normal Distribution
BU 255 = Managerial
Statistics
Fall 2014
Ignacio Castillo, Ph.D.
Learning Objectives
Normal Random Variable
Normal Distribution
Standard Normal Distribution
Normal Table
Calculating Probabilities Based on Normal
Distributions
Chapter 11
Analysis of Variance
BU 255 = Managerial
Statistics
Fall 2014
Ignacio Castillo, Ph.D.
Learning Objectives
Another application of hypothesis testing
Describe an experimental design and its
elements
Test a completely randomized design
using a one
Chapter 4
Bayes Rule (Extra)
BU 255 = Managerial
Statistics
Fall 2014
Ignacio Castillo, Ph.D.
Bayes Rule - Example
The GMAT is generally required to apply
to MBA programs
Variety of prep courses designed to help
improve GMAT scores (200-800)
An applicant
Chapter 4
Bayes Rule
BU 255 = Managerial
Statistics
Fall 2014
Ignacio Castillo, Ph.D.
Learning Objectives
Bayes Rule
Table Approach
Probability (Decision) Tree Approach
Conditional Probability
Conditional probability for events E1 and
E2:
P(E1 and E 2 )
P
Chapter 3
Descriptive Statistics
BU 255 = Managerial
Statistics
Fall 2014
Ignacio Castillo, Ph.D.
Learning Objectives
Distinguish between measures of central
tendency, measures of variability, and
measures of association
Understand the meaning of mean,
me
Chapter 4b
Probability
BU 255 = Managerial
Statistics
Fall 2014
Ignacio Castillo, Ph.D.
Learning Objectives
Understand the different ways of assigning
probability
Understand and apply marginal, union,
joint, and conditional probabilities
Select the approp
Chapters 5 & 6
Uniform, Poisson, and
Exponential Distributions
BU 255 = Managerial
Statistics
Fall 2014
Ignacio Castillo, Ph.D.
Learning Objectives
Probability Density Function
Uniform Distribution
Poisson Distribution
Exponential Distribution
Relationshi
Wilfrid Laurier University
School of Business & Economics
BU/EC 255: Managerial Statistics
Fall 2014
I. Faculty Contact Information and Office Hours
Ignacio Castillo, Ph.D.
Professor
Email:
icastillo@wlu.ca
Phone:
519.884.0710 x6054
Office Location:
P3062
Chapter 4a
Probability
BU 255 = Managerial
Statistics
Fall 2014
Ignacio Castillo, Ph.D.
Learning Objectives
Understand the different ways of assigning
probability
Understand and apply marginal, union,
joint, and conditional probabilities
Select the approp
Chapter 5
Discrete Distributions
BU 255 = Managerial
Statistics
Fall 2014
Ignacio Castillo, Ph.D.
Learning Objectives
Distinguish between discrete random
variables and continuous random
variables
Compute mean and variance of a discrete
distribution
Unders
CHAPTER FIVE
Discrete Distributions
C
1.
E
Term
B
E
Term
Variables which take on values only at certain points over a given interval are
called _.
A.
B.
C.
D.
2.
point variables
continuous random variables
discrete random variables
value variables
A varia
Chapter 6
Im going to start off with chapter 6 which is communicating and Interpreting accounting
information
A couple of days ago I spoke with one of the accounting professors, James Moore and he told
me that chapter 6 is essentially a review from the fi
Chapter 7 Sampling & Sampling
Distributions
Systematic Sampling
Determining the Value of k
Page 1 of 4
z Formula for Sample Proportions for n > and
n >
=
!
=
where
!
n = sample size
Wilfrid Laurier University
School of Business & Economics
BU/EC 255: Managerial Statistics
Fall 2015
Course Chronology and Suggested Problems
Week
Topic and Text References
Sept. 14-18
1.1
1.2
1.3
Statistics in Business
Basic Statistical Concepts
Data Mea
Chapter 13
Multiple Regression Analysis
SOLUTIONS TO PROBLEMS IN CHAPTER 13
13.14 The standard error of the estimate is 3.503. R2 is .408 and the adjusted R2
is only .203. This indicates that there are a lot of insignificant predictors
in the model. That
Chapter 11
Analysis of Variance and
Design of Experiments
SOLUTIONS TO PROBLEMS IN CHAPTER 11
11.1
a) Time Period, Market Condition, Day of the Week, Season of the Year
b) Time Period - 4 P.M. to 5 P.M. and 5 P.M. to 6 P.M.
Market Condition - Bull Market