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Solution key
Quiz 3, sample (?/11/2014)
Probability and Statistics for Engineers, GENG 200 - L53
Fall 2016
Problem 1: [100]
Lifetime of a lamp in an overhead projector installed at QU is normally distributed with mean of
8000 hours and standard deviation
1-UNIFORM DISTRIBUTION
2-NORMAL DISTRIBUTION
3-Exponential Distribution
4-5 Continuous Uniform Random
Variable
Definition
4-5 Continuous Uniform Random
Variable
Continuous uniform probability density function.
4-5 Continuous Uniform Random
Variable
Mean a
College of Engineering
GENG 200 Probability and Statistics for Engineers
Spring 2015
Assignment #2
Given: 15-03-2015
Due: 23-03-2015
Submit your solutions ONLY in Hardcopy at the beginning of the lecture
Exercise#1
Giving a random variable X with the foll
College of Engineering
GENG 200 Probability and Statistics for Engineers
Spring 2015
Computer Based Assignment #1
Given Monday 16-03-2015 due on Wednesday 25-03-2015 at the beginning of the lecture via
blackboard.
Exercise # 1:-Collect and Comment on the
Probability
1
Probability
2
Interpretations of Probability
Used to quantify likelihood or chance
Used to represent risk or uncertainty in engineering applications
Can be interpreted as our degree of belief or relative frequency
3
Interpretations of Pro
COLLEGE REQUIREMENT UNIT
COLLEGE OF ENGINEERING
Fall - 2014
SAMPLE SOLUTION
FINAL EXAMINATION PAPER
Course: Probability and Statistics, GENG 200
Date : Tuesday, January 6, 2015
Time: 08:00 10:00 (120 mn)
This exam contains 6 pages (including this cover pa
Chapter 3partII
Outline
Discrete Uniform Distribution
Binomial Distribution
Geometric Distribution
Poisson Distribution
1
3-5 Discrete Uniform Distribution
This is a serial number of a product:
723-975632188
The first digit of a parts serial number is li
Chapter 3
1
Random Variables
2
Random Variables
3
Introductory Example
Suppose that a days production of 850 manufacturing parts contains 50 parts
that do not conform to customer requirements.
Two parts are selected at random, without replacement, from th
Chapter 2: Probability
1
Permutations and Combinations
Permutations and Combinations
Another way to determine the number of outcomes of an event is to use the
permutation rules. An arrangement of n distinct objects in a specific order is called a
permutat
5-2 TWO OR MORE CONTINUOUS
RANDOM VARIABLES
+ 5-1 Two Discrete Random Variables
In previous chapters, we studied the probability distributions
of a single random variable.
Sometimes it is useful to study more than one random
variable in a random experimen
College of Engineering
GENG 200 Probability and Statistics for Engineers
Spring 2015
Computer Based Assignment #2
Submit your work in hardcopy at the beginning of the lecture
Given: May 11th
Due on: May 24th
Exercise # 1:- Cotton fibers are classified int
CollegeofEngineering
GENG200ProbabilityandStatisticsforEngineers
Spring2015
Assignment#1
Given:25022015
Due:09022015
Submit your solutions ONLY in PDF softcopy on blackboard.
You can work on MS Word and convert it to PDF, or solve your exercises
manually
7-1 Introduction
The field of statistical inference consists of those methods
used to make decisions or to draw conclusions about a
population.
These methods utilize the information contained in a
sample from the population in drawing conclusions.
Stat
Data of compressive strengths in pounds per square inch of 80 specimens of a new
aluminum-lithium alloy under going evaluation As a possible material for aircraft structural
elements.
6-1 Numerical Summaries
Definition: Sample Mean
6-1 Numerical Summaries
Page | 1/6
GENG 200 Probability and Statistics for Engineers
Midterm Exam Spring2015
Qatar University
College of Engineering
GENG 200 Probability and Statistics for Engineers
Spring 2015 Midterm Exam
01-04-2015
Section:
L01
Faculty: Dr. Adel Elomri
Questi
GENG200
Spring 2014
Final Exam
14/06/14
Time Limit: 120 Minutes
Name (Print):
ID:
Signature:
This exam contains 10 pages (including this cover page) and 7 problems. A 2-pages formula sheet
is provided separately
Check to see if any pages are missing.
Ente
COLLEGE REQUIREMENT UNIT
COLLEGE OF ENGINEERING
Fall - 2014
FINAL EXAMINATION PAPER
Course: Probability and Statistics, GENG 200
Time: 08:00 10:00 (120mn)
Date: Tuesday, January 6, 2015
This exam contains 8 pages (including this cover page) and 5 Question
6-4 Box Plots
Box plots are preferable to stem and leaf displays when
-there is a large amount of data.
-three or more groups are to be compared.
6-4 Box Plots
The box plot is a graphical display that simultaneously
describes several important features o
Probability
1
SampleSpacesandEvents
2
RandomExperiment
Anexperimentthatcanresultindifferent
outcomes,eventhoughitisrepeatedinthe
samemannereverytime,iscalledarandom
experiment.
3
Random Experiments - Example
4
Random Experiments - Example
Communicationsys
Covered Topics
8-1 Introduction
In the previous chapter we illustrated how a parameter can
be estimated from sample data. However, it is important
to understand how good is the estimate obtained.
Bounds that represent an interval of plausible values for
College of Engineering
GENG 200 Probability and Statistics for Engineers
Fall 2014
Tutorial#1Chap2
Recommended Exercises from textbook:
Chapter2:155,156,178,185,187,189,195,197
Problem#1
Acomputersystemusespasswordsthatareexactlysevencharactersandeachchar
4-1 Continuous Random Variables
The objective of this chapter is to introduce some continuous
random distributions.
2
4-2 Probability Distributions and
Probability Density Functions
Density functions are commonly used to describe physical
systems.
Density
Probability
1
SampleSpacesandEvents
2
RandomExperiment
Anexperimentthatcanresultindifferent
outcomes,eventhoughitisrepeatedinthe
samemannereverytime,iscalledarandom
experiment.
3
Random Experiments - Example
4
Random Experiments - Example
Communicationsys
College of Engineering
GENG 200 Probability and Statistics for Engineers
Fall 2014
Dr. Karama Hamdi
Tutorial #1 Chap2
Question 1
(1)- (New car, Old Car)
S=cfw_(UU), (EE), (AA), (UE), (EU),(AE),(EA),(UA), (AU)
(2)- cfw_ (UE), (EU), (UA), (AU)
(3) cfw_(EE),
Probability
1
Multiplication Rule
What is the conditional probability that a part from tool 2
is selected randomly (without replacement), given that a
part from tool 1 is selected first?
Let E1 denote the event that the first part from tool 1, and
E2 de
College of Engineering
GENG 200 Probability and Statistics for Engineers
Fall 2014
Assignment #1
Given: 03-10-2014
Due: 15-10-2014
Please solve the following questions in your textbook (Edition 5)
Chapter 2: 155, 156, 185, 187 (Clearly justify your answer
College of Engineering
GENG 200 Probability and Statistics for Engineers
Spring-2015
Assignment #3
Given: April-4-2015
Due: April-22-2015
Submit your solutions ONLY in Hardcopy at the beginning of the lecture
Recommended Exercises from textbook Chapter 4:
Chapter 2: Probability
1
Permutations and Combinations
Permutations and Combinations
Another way to determine the number of outcomes of an event is to use the
permutation rules. An arrangement of n distinct objects in a specific order is called a
permutat