Example
A desk lamp produced by The Luminar Company was found to be
defective (D). There are three factories (A, B, C) where such desk lamps
are manufactured. Factory A produce 35% of the production i
Chapter Four
Probability
In probability we have phenomena that produce different outcomes which are not
predictable and cant be controlled.
Random experiment: is a process that leads to one of several
Chapter 1
Defining and collecting data
Statistics: is the science of collecting, organizing, presenting, analyzing, and
interpreting numerical data to make decisions based on such analysis.
Population
Chapter 2
Organizing and graphing data
First Organizing and Graphing Qualitative Data(Categorical Variables)
Qualitative data could be organized through the summary table and the
contingency table, an
Chapter (8)
Confidence Interval estimation
A point estimate is the statistic (or estimate), computed from sample
information, which is used to estimate the population parameter.
A confidence interval
Chapter 2
Organizing and graphing data
Visualizing Two Numerical variables
1-The scatter plot
Scatter plots are used for numerical data consisting of
paired observations taken from two numerical varia
Chapter three
Numerical Descriptive Measures
Measures of central tendency:1-Mean
Is called also the arithmetic mean and is obtained by dividing the sum of all
values by the number of these values.
Pop
SPC208 Statics of Rigid and Elastic Bodies
Chapter 3 Rigid Bodies: Equivalent Systems of
Forces
Dr. Zakaria Elnaggar
Contents
1. Introduction
2. External and Internal Forces
3. Principle of Transmissi
Statics Truss Problem
2.1
Statics
We are going to start our discussion of Finite Element Analysis (FEA) with
something very familiar. We are going to look at a simple statically determinate truss.
Tru
SPC208 Statics of Rigid and Elastic Bodies
Chapter 2 Statics of Particles
Dr. Zakaria Elnaggar
FORCE VECTORS, VECTOR OPERATIONS &
ADDITION COPLANAR FORCES
Todays Objective:
Students will be able to :
SPC208 Statics of Rigid and Elastic Bodies
Course Schedule
Course Schedule
Week #
Topic
From - To
Practice and Assessment
1
Forces in a plane and Space
20/9 25/9
2
Equivalent systems of forces
27/9 2/
SPC208 Statics of Rigid and Elastic Bodies
Lecture Notes Dr. Zakaria Elnaggar
Chapter 4: Equilibrium of Rigid Bodies
Equilibrium of Rigid Bodies
Conditions of Equilibrium:
For a rigid body to be in eq
SPC208 Statics of Rigid and Elastic Bodies
Lecture Notes Dr. Zakaria Elnaggar
Chapter 3: Rigid Bodies: Equivalent Systems of Forces
Introduction, Internal & External Forces
Rigid Bodies: Bodies in whi
SPC208 Statics of Rigid and Elastic Bodies
Lecture Notes Dr. Zakaria Elnaggar
INCORPORATING A TRUSS DESIGN PROJECT INTO STATICS COURSE
INTRODUCTION
When teaching engineering mechanics, instructors are
SPC208 Statics of Rigid and Elastic Bodies
Lecture Notes Dr. Zakaria Elnaggar
Chapter 6: Analysis of Structures (Trusses)
Plan Truss
A framework composed of members joined at their ends to form a rigi
Chapter 13
Simple Linear regression
Simple regression: a regression model is a mathematical equation that
describes the relation between two or more variables. A simple
regression model includes only
Measures of position :1-Quartiles and Interquartile range
Note that:
25th percentile -> 1st quartile Q1
50th percentile -> 2nd quartile Q2 which is the median
75th percentile -> 3rd quartile Q3
Locati
Lecture 10: PCA, Model Selection
Nancy R. Zhang
Statistics 203, Stanford University
February 11, 2010
Nancy R. Zhang (Statistics 203)
Lecture 10
February 11, 2010
1 / 20
European Jobs Data
Percentage
3-way tables: Alcohol Cigarette, and Marijuana Use
Survey asked 2276 students in their nal year of high school in a
nonurban area near Dayton, Ohio whether they ever used alcohol,
cigarettes, or marij
Lecture 3: Inference and Diagnostics for Simple
Linear Regression
Nancy R. Zhang
Statistics 203, Stanford University
January 12, 2010
Nancy R. Zhang (Statistics 203)
Lecture 3
January 12, 2010
1 / 24
Lecture 14: Logistic and Poisson Regression
Nancy R. Zhang
Statistics 203, Stanford University
February 24, 2010
Nancy R. Zhang (Statistics 203)
Lecture 14
February 24, 2010
1 / 12
Count data
1
Men an
A BRIEF INTRODUCTION TO R
STAT203
YuehWen Liao
Dept. of Statistics, Stanford Univ.
What is R
A software & a dialect of the S language
y
y
g p
A system for statistical analysis and graphics
Works in
STAT 203: Regression Models and ANOVA
Lecture 2: Simple Linear Regression
Nancy R. Zhang
Statistics 203, Stanford University
January 8, 2009
Nancy R. Zhang (Statistics 203)
Lecture 2
January 8, 2009
1
STAT 203: Regression Models and ANOVA
Lecture 1: Introduction and Review
Nancy R. Zhang
Statistics 203, Stanford University
January 7, 2009
Nancy R. Zhang (Statistics 203)
Lecture 1
January 7, 2009
1