Robin Hood
CASE STUDY
It was in the spring of the second year of his insurrection against the High Sheriff of Nottingham
that Robin Hood took a walk in Sherwood Forest. As he walked he pondered the progress of the
campaign, the disposition of his forces,

Chapter 10: Inferences Involving
Two Populations
Chapter Goals
Independent versus dependent samples.
Compare two populations using:
(i) the mean of the paired differences,
(ii) the difference between two means,
(iii) the ratio of two variances.
1
10.1:

MA2172 Applied Statistics for Sciences and Engineering
Examples on Chapter 13 - Linear Correlation and Regression Analysis
1.
2.
(E0304B_Q3C). These data were obtained from a survey of the number of years people
smoked and the percentage of lung damage th

Chapter 9: Inferences Involving One
Population
Chapter Goals
Learned about confidence intervals and
hypothesis testing.
Consider inference about when is
unknown by using classical procedure.
Consider inference about p, the binomial
probability of succe

MA2172 Applied Statistics for Sciences and Engineering
Examples on Chapter 10 - Inferences About Two Means: Independent Samples
Statistics needed: Two-sample t-test for difference between two means using two independent
samples (one-tailed, two tailed):
T

MA2172 Applied Statistics for Sciences and Engineering
Examples on Chapter 8 - Hypothesis Test: One-Tailed
1.
2.
(E0708A_Q2A). A health researcher read that a 100-kg male can burn an average of 572
calories per hour playing table tennis. Thirty-six males

MA2172 Applied Statistics for Sciences and Engineering
Examples on Chapter 6 - Normal Distribution
Statistics needed: Normal probability distribution, Standard normal distribution
1.
(E0203B_Q2A). It is estimated that 80% of all 18-year-old women have wei

Chapter 6: Normal Probability
Distributions
Chapter Goals
Learn about the normal, bell-shaped, or
Gaussian distribution.
How probabilities are found.
How probabilities are represented.
How normal distributions are used in the
real world.
1
6.1: Normal

MA2172
Assignment 5
2014/15 Semester A
1.
It is claimed that the students at a certain university will score an average of 35 on a given
test. Is the claim reasonable if a random sample of test scores from this university yields 33,
42, 38, 37, 30, 42? Co

MA2172 Applied Statistics for Sciences and Engineering
Examples on Chapter 9 - Inferences About Variance or Standard Deviation
1.
(E0506A_Q3A). With individual lines at its various windows, the HSBC found that the
standard deviation for normally distribut

MA2172 Applied Statistics for Sciences and Engineering
Examples on Chapter 8 - Margin of Error and Sample Size
1.
(E0304B_Q2A). Nelsen Media Research carried out a survey on 20 school children to
estimate the mean amount of time (in hours) that children s

MA2172 Applied Statistics for Sciences and Engineering
Answers to Examples on Chapter 10 - Inferences About Two Means: Independent Samples
1. H 0 : 1 2 = 0
H a : 1 2 0
Test statistic: t = 2.503
Critical values: t (7, 0.025) = 2.365
Reject H 0
2. H 0 : c

MA2172 Applied Statistics for Sciences and Engineering
Answers to Examples on Chapter 8 - Margin of Error and Sample Size
1.
2.
0.3925 hr
(i)
H 0 : 620
H a : < 620
Test statistic: z = 1.8935
p - value = P( z < 1.8935) = 0.0294 < 0.05
Reject H0
(ii) Criti

MA2172 Applied Statistics for Sciences and Engineering
Examples on Chapter 6 - Normal Approximation to Binomial
Statistics needed: Binomial distribution, Standard normal distribution, Continuity correction
1.
(E0001A_Q2A). Suppose x is a binomial random v

1.
QUESTION 1
Four-year-old Timmy had not wet his bed for over a year. However, he
started bed-wetting again soon after his sister was born. Timmy's behavior
best illustrates
2. reaction
formation.
projection.
regression.
denial.
0.02 points
QUESTION 2
1.

Investment Properties
Definition :
Investment property is property (land or a building or part
of a building or both) held (by the owner or by the
lessee under a finance lease) to earn rentals or for
capital appreciation or both.
Examples of investment pr

20-Mar-17
Advanced Auditing
Introduction to sampling
Introduction to sampling
Introduction to Sampling
Judgmental vs. statistical sampling
Fundamental concepts of sampling
Sampling risk and non-sampling risk
Statistical sampling
o Concepts
o phase
Sa

20-Feb-17
Introduction
Name :
Ms. Bridget Dcruz FCCA
BBCA3173 Advanced Auditing
Email address:
[email protected]
Planning & Risk Assessment in an Audit
Risk is important factor to consider when
planning an audit
Assignment Risk
(audit risk)
RISK
B

Introduction
Name :
Ms. Bridget Dcruz FCCA
You may address me as Ms. Bridget
Email address:
[email protected]
Advanced Auditing
Materiality & Risk
Generally Accepted Accounting Principles
Generally Accepted Accounting Principles
Concepts /
Assumpt

Exchange traded
Advantages
Disadvantages
Diversification
May Be Limited to Larger Companies
One ETF can give exposure to a group of
equities, market segments or styles. In
comparison to a stock. For example, you could
focus on Brazil, Russia, India and Ch

The Use of Strategic Metaphors in Intercultural
Business Communication
Sophie Cacciaguidi-Fahy
James Cunningham
This paper contends that the use of strategic metaphors can help deliver
the eective intercultural business communication necessary for global

BACHELOR OF BUSINESS
ADMINISTRATION
(c) Powered by City University College
STRATEGIC MANAGEMENT
(BBCM3103)
LESSON 1
THE NATURE OF STRATEGIC MANAGEMENT
Learning Outcomes
Upon completion of this subject, students should be able to:
1. Explain the strategic

CHAPTER 1
DERIVATIVES: INTRODUCTION AND
OVERVIEW
DERIVATIVES
New instruments in financial market
It is a financial asset that derive its value from
the underlying asset
- value derivatives depend on physical
asset
- eg in Malaysia, value of future contr

62
PLANNING BY THE BOOK
The Rise and Fall of
Great Companies
David Beck
f there is one troubling question plan
ners have asked over and over again
and have not satisfactorily answered,
it is "What makes great companies go
b a d ? " At least some answers m

IC Compiler
Implementation
User Guide
Version D-2010.03-SP2, June 2010
Copyright Notice and Proprietary Information
Copyright 2010 Synopsys, Inc. All rights reserved. This software and documentation contain confidential and proprietary
information that is

4
Clock Tree Synthesis
Learning Objectives
The purpose of this lab is for you to become familiar with
the clock tree synthesis capabilities in IC Compiler.
You will perform clock tree synthesis on the ORCA_TOP
design, after applying multiple settings. Rep

NEW YORK CITY COLLEGE OF TECHNOLOGY
The City University of New York
DEPARTMENT:
Mathematics
COURSE:
MAT 1272
TITLE:
Statistics
DESCRIPTION:
An introduction to statistical methods and
statistical
inference.
Topics
include
descriptive statistics, random var