PM LHQ
Solution for Assignment 1 from Chapter 1
n
1.1-8 Let. A =cfw_lab work done. B =cfw_referml to 0. specialist,
P(A) = 0.41, 13(3) 3 0.53, P([A u 31') = 0.21.
P(A u B) ._. P(.4) + 13(3) P(.4n B)
0.79 = 0.41 + 0.53 P(A n B)
P(A n B) = 0.41 + 0.53 0.70
University of Windsor. Fall, 2015. Dr. Sudhir Paul
97-501: Probability for Risk and Actuarial Science
CHAPTER 1
Topics: 1. Set functions including set notation and basic elements of probability; 2.
Mutually exclusive events; 3. Addition and multiplication
Assignment 4
For Practice
Chapter 2:
2.2-4, 2.2-8, 2.2-12
2.3-2, 2.3-4, 2.3-12
2.4-6, 2.4-8, 2.4-19
Sample Questions
1. A company takes out an insurance policy to cover accidents that occur at its manufacturing plant.
The probability that one or more acci
Hogg, Tanis and Zimmerman (HTZ) and
Chapter 1:
1.5-4, 1.5-6, 1.5-10, 1.5-12.
Chapter 2:
2.1-8, 2.1.14, 2.1.15
Sample Question
A blood test indicates the presence of a particular disease 95% of the time when the disease is
actually present. The same test i
Midterm 2 Version B Solutions
Section 1: Choose the most appropriate answer [1 mark each]
1.1 A circular loop of wire is placed in a decreasing magnetic field that points
upwards. Looking at the loop from above, what direction will the induce emf in the l
Chapter 2:
The Accounting
Information System
Fundamental Accounting
Concepts
What concepts and assumptions underlie accounting
information?
How do companies record business activities?
What procedures are involved in transforming
information about busines
60-1-00 Lecture 2
Introduction to Miranda
Agenda
The notion of a function
Mirandas notation for a function
Writing a Miranda program (script).
Data types in Miranda.
Function composition.
Repetition.
Examples
2
Miranda: computation by
evaluating functions
60-1-00 Lecture 2
Introduction to Miranda
Agenda
The notion of a function
Mirandas notation for a function
Writing a Miranda program (script).
Data types in Miranda.
Function composition.
Repetition.
Examples
2
Miranda: computation by
evaluating functions