Chapter2 ' Businessto
Pure Competition
- Niany buyers and sellers exi
positions. The market is sign
~ Generally exists in commodities, sue
; - Price is a meter component .otttie. mar
seldom deviate tram the market-clearing pri'ce.
-Business Environment:
Chapter 9 ' Innovation and Competitiveness
COMPETING THROUGH INNOVATION
The entrepreneurial element of innovation is central to the continuing ability of the company to
win customers and reap nancial performance benets. In the last chapter, we discussed p
Chapter 2 Business-to-Business Environment: Customers, Organizations, and Markets
relations effort combined with an effective inoculation strategy can minimize the negative impact
, of these groups. A market-driven organization, however, should recognize
add-on gadgets for personal digital assistants (PDAs), such as the Palm Pilot, must conform to
the physical connection requirements of the devices and to the PalmOS software operating
system. To ensure high nancial performance, the accessory equipment sup
Chapter 2 - Business-toBusiness Environment: Customers, Organizations, and Markets
THE ECONOMIC ENVIRONMENT The macroeconomics of regions in which the company
does business also inuence how business-to-business customers buy and consume. The
macroeconomy
Chapter 2 - Business-toBusiness Environment: Customers, Organizations, and Markets
THE ECONOMIC ENVIRONMENT The macroeconomics of regions in which the company
does business also inuence how business-to-business customers buy and consume. The
macroeconomy
Chapter 2 - Business-toBusiness Environment: Customers, Organizations, and Markets
A good example is the McDonalds switch from plastic foam packaging to wax-coated
paper packaging for most of its menu items? Consumers perceived foam packaging as unfriendl
Chapter 2 Business-to-Business Environment: Customers, Organizations, and Markets
In many other businessto-business markets, monopolistic competition or pure competition
exists. The key in either market is to look for ways to differentiate the offering, c
HYPOTHESIS TESTING
HYPOTHESIS TESTING ONE POPULATION
OBJECTIVES
After completing this note, you should be able to:
1. Understand the definitions used in hypothesis testing.
2. State the null and alternative hypotheses.
3. State the five steps used in hypo
Nonparametric Statistics
Nonparametric statistical
procedures are those statistical
methods that do not concern
themselves with population
distributions and/or parameters.
The Runs Test
The runs test is a statistical
procedure used to determine
whether th
CONFIDENCE INTERVALS FOR DIFFERENCE BETWEEN TWO
POPULATION MEANS: LARGE INDEPENDENT SAMPLES
Suppose that we take a random sample of n1 from the first population and a random
sample of n2 from the second population.
In the first population, the mean is rep
Test of Normality
Use chi-square to determine if the variable shown in the
frequency distribution is
normally distributed. Use a 0.05.
Boundaries
Frequency
89.5104.5
24
104.5119.5
62
119.5134.5
72
134.5149.5
26
149.5164.5
12
164.5179.5
4
Total
200
Solutio
Name: NURUL AMIRAH BINTI MOHD
FUAD
Matric. No: 231761
CHAPTER 4:
DISTRIBUTION OF
DIFFERENCES BETWEEN
MEANS, PROPORTION.
Testing differences between two
means or proportions
The
same strategy will apply for testing differences between two
means or proport
The estimation of variance
If X and S 2 are the mean and the variance of a
random sample of size n from a normal
population with the mean and the standard
deviation, , then
2
X
and
S
1.
are independent
2. The random variable
2
(n 1) S
2
~
n 1
2
Thus
2
Expectation &
Moment
What is Expected Value ?
Weighted average of the possible
values of X, weighted by their
corresponding probabilities
Expected Value of X
If X is a discrete random variable, and f(x) is the
value of its probability distribution at x, t
SCHOOL OF QUANTITATIVE SCIENCES
UUM COLLEGE OF ARTS AND SCIENCES
UNIVERSITI UTARA MALAYSIA
SecondSemester Session 2015/2016 (A152)
SQQS1013 Elementary Statistics
Group Assignment 2
(45 Marks: 10% of coursework)
INSTRUCTIONS:
1. Form a team of FOUR (4) to
SQQS1013 Elementary Statistics
5.1
SPECIAL
DISTRIBUTIONS
DISCRETE DISTRIBUTION
Consist of the values a random variable can assume and the corresponding
probabilities of the values.
The probabilities are determined theoretically or by observation.
5.1.1 Bi
SQQS 1013 ELEMENTARY STATISTICS A152
a. From part (a), choose a quantitative variable, and find at least 30 observations. Collect and
record the data.
i)
State your chosen variable and explain how you collected the data.
We choose the monthly spent for mo
An oil explorer orders seismic tests to determine whether oil is likely to be found in a
certain drilling area. The seismic tests have a known reliability: When oil does exist in
the testing area, the test will indicate so 85% of the time; when oil does n
Talent
management
Developing leadership
not just leaders
Sarah Massie
Leadership
in action
Introduction and context
Developing leadership that is fit for purpose is often
citedasthe most common workforce challenge facing all
sectors public, private and no
SQQS 1013 ELEMENTARY STATISTICS A151
SCHOOL OF QUANTITATIVE SCIENCES
UUM COLLEGE OF ARTS AND SCIENCES
UNIVERSITI UTARA MALAYSIA
First Semester Session 2015/2016 (A151)
SQQS1013 Elementary Statistics
Group Assignment 2
(40 Marks: 10% of coursework)
INSTRUC
SQQS 1013 ELEMENTARY STATISTICS A151
SCHOOL OF QUANTITATIVE SCIENCES
UUM COLLEGE OF ARTS AND SCIENCES
UNIVERSITI UTARA MALAYSIA
First Semester Session 2015/2016 (A151)
SQQS1013 Elementary Statistics
Group Assignment 1
(50 Marks: 10% of coursework)
INSTRUC
SQQS1043 : CHAPTER 3
CHAPTER 3 : JOINT DISTRIBUTIONS
Learning Outcome
Able to differentiate the discrete and continuous cases.
Able to explain the concept of marginal and conditional distribution.
Able to construct the marginal and conditional distributio
Chapter 4
sampling
distribution
1.
2.
3.
4.
5.
Central Limit Theorem
Chi-Square, t and F distributions
Order Statistics
Distribution of mean, proportion and variance for a
sample
Distribution of differences between means,
proportions and the ratio of vari