1)In the this case, respect is characterized as a company's readiness to consider the commitments
and needs of their clients and making approaches and policies that are a direct consequence of client
observation. Client centricity has become primary prefe
Lee Mariya
Finance
PROBLEM SET 1
LECTURE 2
Problem 1
Explain the difference between a simple random sample and a random sample. Name
two kinds of non-simple random samples.
In order to collect a random sample, the researcher needs a sampling frame a list
Problem 1
The main difference is connected with the population issue. In random sample each unit of population has specified and n
While a simple random sample is a special case where each unit of population has equal, known, non-zero probability of s
An
12 Problem
a) . The customer responses provided categorical data for six variables.
b) There was used a nominal measurement scale. Because subjects were based only on their
names.
17 Problem
a) The population of interest in this study consist of 2861 subs
1.
A nominal scale of measurement deals with variables that are non-numeric or where the numbers have no
value. In other words, we can put them in any order and it wouldn't matter. Whether an ordinal scale of
measurement looks at variables where the order
Statistics and Applied
Econometrics
Galym Makhmejanov
KAZGUU Fall 2016
Lecture 7. Hypothesis Testing
7.
CONTENT
Hypothesis testing
1. Principle of confidence intervals he random variable
2. Statistical tests
3. Types of error
4. Tests for normal populatio
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A Guide to
Basic Econometric
Techniques
Downloaded by [Nazarbayev University Li
Statistics and Applied
Econometrics
Galym Makhmejanov
KAZGUU Fall 2016
Lecture 2. Nature of Statistics
CONTENT
1.
2.
3.
4.
5.
Terminology
Population
Bias
Parameters
Sampling
Aims
A general introduction to some of the statistical ideas
Overview of the id
Statistics and Applied
Econometrics
Galym Makhmejanov
KAZGUU Fall 2016
Lecture 5. Normal Distribution
CONTENT
5.
5.1.
5.2.
5.3.
The normal distribution and ideas of sampling
The random variable
Population mean and variance
5.2.1. Population mean
5.2.2. Po
Statistics and Applied
Econometrics
Galym Makhmejanov
KAZGUU Fall Semester 2016
Chapter 1
THE NATURE OF ECONOMETRICS
Econometric Methodology
Keynes Law of Consumption:
The fundamental psychological law, upon
which we are entitled to depend with great
co
KAZGUU Fall Semester 2016
Statistics and Applied Econometrics
Lecturer: Galym Makhmejanov
PROBLEM SET 2
LECTURE 5
Problem 1
S
(0,1).
, 1,1
1,9, , (1,1) = 0,864; (1,9) = 0,971.
Problem 2
S ,
.
(,
2
), = 7,21; 2 = 9, n
Statistics and Applied
Econometrics
Galym Makhmejanov
KAZGUU Fall 2016
Lecture 4. Probability
CONTENT
4.
Probability
4.1.
4.2.
4.3.
4.4.
The concept of probability
Relative frequency
`Randomness'
Properties of probability
4.4.1. Notational vocabulary
4.4.
23.
a.
(
P ( x<60 )=P z<
6080
=P ( z<2 )=0.02275
10
)
b.
P (60< x<75 )=P
(
6080 7580
<z<
= P (2< x<0.5 ) =0.2857
10
10
)
c.
(
P ( x>90 )=P z>
9080
= P ( z>1 )=0.1587
10
)
Number of students who will be unable to complete:
0.1587 ( 60 )= 9.5210
52.
a)
=155
3) Number of permutations is
nPr = n!/(n-r)!
6!/(6-3)!=6*5*4*3!/3!=6*5*4=120.
Permutations out of B,D,F:
BDF,BFD,DBF,DFB,FBD,FDB
37)
a.0.37*0.19=0.0703
b.0.37*0.81=0.2997
c.abeinghighercorrespondstothe1824yearoldsbeingmorelikelytousethecard,bbeinghigher
c
1)
0.7
0.6
f(x) = - 0x + 0.6
R = 0.99
0.5
0.4
Average weight/Fruit
(pounds)
Linear (Average
weight/Fruit (pounds)
0.3
0.2
0.1
0
0
200
400
600
800
1000
As you can see from the scatter graph coefficient of determination is R^2= 0.9878 and line is negative
c
Statistics and Applied
Econometrics
Galym Makhmejanov
KAZGUU Fall 2016
Content
1. Data presentation (Ways of summarizing data; measures of
location and dispersion; graphical presentation).
2. Probability (Probability theory; probability trees).
3. The nor