212
For Hearing People Only: 4th Edition
CHAPTER 27
in my pamphlets and
textbonlgs, Deaf
are portrayed as being
delighted when the
earing learn Signingi
But i get the impress
Electric Circuits
Name:
Electric Potential Difference
Read from Lesson 1 of the Current Electricity chapter at The Physics Classroom:
http:/www.physicsclassroom.com/Class/circuits/u9l1a.html
http:/www
Name
Lindsey
Britney
Brad
George
Erica
Bonnie
Kyle
Landry
Mat
Jason
Age
Name
Mat
Bonnie
George
Brad
Age
Salary
Rows 3-12 give the age and salary of some of
$ 71,000.00
$ 38,000.00
$ 39,000.00
$ 72,000
You should be working on 4.2b and 4.3. I have included notes for 4.2a that might help in 4.2b.
Please make sure you understand this material. We will be using 4.3 throughout the remainder of
the sessi
CASE STUDIES
DEP2004
METHODS IN DEVELOPMENT
PROFESSOR JONES
BY: KYLE VASQUEZ
WHAT IS A CASE STUDY?
When
a case study is conducted it means that the person
studying is conducting a very in-depth inves
Age
in
years
2-4
5-8
9-12
Physical Development
Cognitive
Development
Socioemotional
Development
In ages 2-4 children
learn to:
Stand up
Walk/run
Climb stairs
Jump
In ages 2-4 children learn
to:
S
Kyle Vasquez
AP English literature
1/3/17
Period 4
Foible Essay
I run, I fear the mundane and so, I constantly move from one activity onto the next one.
One day during my freshman year I speed out of
Before revision
After revision
Seeing the word cloud made me realize that my essay had a lot more mistakes than I had
thought, I also realized the importance of revising your essay more than once. Whe
Additional Theoretical Considerations
Testing Correlation - I
Recall the tests on 1 below all test whether the explanatory &
response variable are related:
Non-equality H0: 1 = 0 vs. Ha: 1 0 - Tests
The Fixed Intercept Model
Introduction
Sometimes, the nature of a problem dictates that when the
explanatory variable is equal to 0, the conditional mean of the
response variable (or response variabl
Distributional Properties of the SLM
Inference for 0
Though, the distribution of the LSE for the intercept is normal, the
value of 2 is unknown. Consequently for inference on must use
~ Norm 0,1
0 0
Distributional Properties of the LSEs
Maximum Likelihood: Motivating
Example - I
Suppose we flip a coin n times. Let p be the probability any given
coin flip turning up heads.
Let 1 denote the outco
Robust Regression
The Objective Function
Recall the form of the objective function that is minimized to find the
least squares estimates
n
n
S 0 , 1 yi 0 1 xi ei2
i 1
2
i 1
The least squares estimat
Outliers
Outlier Detection
As mentioned earlier an outlier is any observation/s that look
unusual. These can be spotted a priori by constructing a scatter plot
of the response variable versus the exp
Mathematical & Stastical Properties
of the LSEs
Identities Involving the LSEs - I
1) The least squares line goes through the centroid of the data (i.e.
the point x , y ).
0 1 x y 1 x 1 x y
2) The su
Addressing Model Deviations Methods
Addressing Model Deviations
As mentioned in the last lecture, one must check that the assumptions
made regarding the linear model are satisfied both before fitting
Addressing Model Deviations: Invariance
& Equivariance Considerations
Example 1 - I
For the data on the left, the
relationship between the
response & explanatory
variable appears to follow a
power re
Addressing Model Deviations:
Theoretical Considerations
Injective Functions - I
Note that all the functions suggested for transforming variables are
strictly monotonic functions (or compositions of m
The Simple Linear Model
Simple Linear (Regression) Model
(SLM)
Given bivariate data (X, Y), the population regression model is:
Explanatory/Independent/Regressor/Exogenous
/Predictor/Input Variable o