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The purpose of this message is to relay important information to employees.
This is new information that needs to be given ahead of the holiday season
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2. Describ
Poisson Distribution
Experiments yielding numerical values of a random variable X,
the number of outcomes occurring during a given time interval or in a
specified region are called Poisson experiments.
Properties:
1. The number of outcomes occurring in on
Some Continuous Probability Distributions
1. Continuous Uniform Distribution
One of the simplest continuous distributions in all statistics is
continuous uniform distribution. This is characterized by a density
function that is flat.
Definition: The densi
1
CHAPTER 5
TYPES OF PROBABILITY DISTRIBUTIONS
Some Discrete Probability Distributions
The observations generated by different statistical experiments have the
same general type of behavior. These experiments encountered in practice can
be described by es
1
Chapter 4
Mathematical Expectation
MEAN OF A RANDOM VARIABLE
The mean of the random variable X or the mean of the probability
distribution of X is the method of relative frequencies used to calculate the
average number of a random variable. The mean or
MODULE 1: INTRODUCTION TO ENGINEERING MANAGEMENT
Getting things done through people
The four major functions of
planning & decision-making
organizing & staffing,
directing/leading
controlling
FUNCTIONS OF MANAGEMENT
Planning & Decision-Making
sele
Name: Salazar, John Michael Jehrome A.
Student #: 2015107514
Group #: 2
E201: Work, Energy and Power
ABSTRACT
The main objective of the experiment is to determine the power, the definition of
work and the energy conservation principle. Different materials
Name: Salazar, John Michael Jehrome A.
#: 2
Student #: 2015107514
Group
E206: Archimedes Principle
ABSTRACT
The experiment tackles about in studying the concepts and applying
Archimedes principle in determining the density and specific gravity of solids a
MAPA UNIVERSITY
School of Civil, Environmental and Geological Engineering
MEC 30
STATICS OF RIGID BODIES
Salazar, John Michael Jehrome A
CHE-2/ 2015107514
MEC 30 / A12
September 16, 2017
ELECTRICITY GENERATION FROM NON FOSSIL
FUELS
(NUCLEAR POWER PLANT)
S
Tests of Hypotheses for a Single
Sample
Probability and Statistics
Objectives
At the end of the lesson, the students are expected to
Structure engineering decision-making problems as
hypothesis tests;
Test hypotheses on the mean of a normal distribution
Salazar, John Michael Jehrome A.
August 1, 2016
Hum17/A30
Prof: Christine Carmela
Ramos
In the research conducted by: Richard F. West, Maggie E. Toplak
and Keith E. Stanovich entitled, Heuristics and Biases as Measures of Critical
Thinking: Association wi
FINAL EXAM:
1. Not every snake is poisonous. SNAKE
2. If All Cebuanos are Filipinos is true. FALSE
3. Nobody I know would have taken that book. E PROPOSITION
4. The late Agencia Aguilar had sars. HASTY GENERALIZATION
5. Plants die. Animals die. FALSE
6. C
I
Determine whether the second proposition is True, False or Doubtful. No erasures.
1
2
3
4
All fashion fads are products of commercial brainwashing. (True)
a Some fashion fads are not products of commercial brainwashing. (False)
b No fashion fads are pro
Page 1 of 6
Page 2 of 6
PROFESSIONAL EXPERIENCE
April 2013 August 2013
Admin Executive (Temp Job 4months)
Page 3 of 6
Elster-Instromet (Singapore)
Current drawn: $3000
As an Admin Executive, my main duties include:
Filing and typing of office documents
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Victor Mary Sherine
[email protected]
Mobile: +65 8332 6407
Career Summary:
Sherine, has 5.7yrs years of experience in Recruitment, She is an experienced recruiter with strong
knowledge in Information Technology/Engineering/Management Positions. She is
Personal Particulars
Name
: Chong Ying Fong Eileen
Address
: BLK 930 Tampines Street 91
#11-469
Singapore 520930
Date of Birth
: 24-05-1986
NRIC No
: S8614253H
Gender
: Female
Age
: 26
Home No
: 67879978
Mobile No
E-Mail
: 91529582
: [email protected]
2
CHAPTER 3 Random Variables and Probability Distributions
Continuous Probability Distributions
A continuous random variable has a probability of zero of assuming
exactly any of its values. Consequently, its probability distribution cannot be
given in tab
1
CHAPTER II
PROBABILITY
2.1 Probability
Probability is a field of mathematics that deals with chance. We begin our discussion with a
few basic concepts and useful terminologies.
An experiment is an activity in which the results cannot be predicted with c
A B
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
C
D
E
F
G
H
I
J
K
L
Hypothesis Testing - Population Mean
Evidence
Sample size
Sample Mean
9
100.6
n
x-bar
s Known; Normal Population or Sample Size >= 30
Correction for Fini
A
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
B
C
D
E
F
G
H
I
J K
L
M
N
O
Comparing Two Population Proportions
Evidence
Size
#Successes
Proportion
Sample 1 Sample 2
2020
2020 n
1071
929
x
0.5302
0.4599 p-hat
Assumpt
A
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
B
C
D E
F
G
H
I
J
K
L
M
N
OP
Q
R
S
TU
Testing the Difference in Two Population Means
Data
Current Previous Evidence
Sample1 Sample2
1
405
334
2
125
150
3
4
5
6
7
8
9
10
11
12
13
14
540
100
200
30
1200
265
90
A
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
B
C
D
E
F
G
Chi-Square Test for Goodness-of-Fit
Frequency data
Actual
Expected
k
df
Tan
Brown Maroon Black
12
40
8
20
20
20
20
20
4
3
Test Statistic
c2
30.4
p-value 0.0000
H
I
Watchband color
J
K
L
A
1
2
3
4
5
6
7
A
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
B
C
D
E
F
G
Testing Population Variance
Evidence
Sample Size
Sample Variance
31
1.62
n
s2
Test Statistic
48.6
c2
Null hypothesis
H0: s 2 =
1
H0: s 2 >=
1
H0: s 2 <=
1
p-value
0.0345
0.9827
0.0173
Assumption:
Populatio
1
CHAPTER 5
TYPES OF PROBABILITY DISTRIBUTIONS
Some Discrete Probability Distributions
The observations generated by different statistical experiments have the
same general type of behavior. These experiments encountered in practice can
be described by es
Some Continuous Probability Distributions
1. Continuous Uniform Distribution
One of the simplest continuous distributions in all statistics is
continuous uniform distribution. This is characterized by a density
function that is flat.
Definition: The densi
1
Chapter 4
Mathematical Expectation
MEAN OF A RANDOM VARIABLE
The mean of the random variable X or the mean of the probability
distribution of X is the method of relative frequencies used to calculate the
average number of a random variable. The mean or
1
CHAPTER II
PROBABILITY
2.1 Probability
Probability is a field of mathematics that deals with chance. We begin our discussion with a
few basic concepts and useful terminologies.
An experiment is an activity in which the results cannot be predicted with c
INTRODUCTION TO RANDOM VARIABLES
A random variable is a function that associates a real number with each
element in the sample space.
Discrete Random Variable
Example 1: The sample space giving a detailed description of each
possible outcome when 3 produc
INTRODUCTION TO RANDOM VARIABLES
A random variable is a function that associates a real number with each
element in the sample space.
Discrete Random Variable
Example 1: The sample space giving a detailed description of each
possible outcome when 3 produc
Poisson Distribution
Experiments yielding numerical values of a random variable X,
the number of outcomes occurring during a given time interval or in a
specified region are called Poisson experiments.
Properties:
1. The number of outcomes occurring in on
2
CHAPTER 3 Random Variables and Probability Distributions
Continuous Probability Distributions
A continuous random variable has a probability of zero of assuming
exactly any of its values. Consequently, its probability distribution cannot be
given in tab