Step 1: Identify Your Three Variables
Variable
SPSS Variable Name
Explain what it Measures
Death Penalty
CAPPUN
Those in favor of or opposed to the death
penalty
Abortion
ABANY
Those in favor of or against abortion for any
reason
Gay Marriage
MARHOMO
Thos
Variable
SPSS Name
Explain exactly what
this variable
measures
The respondents
subjective class
identification
Level of
Measurement
1. Class
identification
CLASS
2. Degree
DEGREE
The highest degree
obtained by the
respondent
Ordinal
3. Education
EDUC
High
1
Statistics 101B
Week ten session one
Professor Esfandiari
Further clarification of the ATS manuscript on logistic
regression
Outcome variable is being in the honor program
1 = being in the honor program
0 = not being in the honor program
predictor
Week 6 Lecture Two
Statistics 101A
Prepared by: Professor Esfandiari
Edited by: Akram Almohalwas
The objective of this lecture part of the lecture is to introduce you to analysis of covariance or
modeling with categorical variables.
Analysis of Covariance
1
Statistics 101B
Week nine
Session three
Professor Esfandiari
Remember from last session
H0 in logistic regression: The following model is
appropriate
(x) = 1/1+ exp(cfw_ 0 1 x)
Ha in logistic regression: The above model is
inappropriate.
Remember
1
Statistics 101A
Week nine  Session three
Professor Esfandiari
Edited by: Professor Almohalwas
8.1.3 Explanation of Deviance
In logistic regression the concept of the residual sum of squares is replaced by a concept
known as the deviance . In the case o
1
Statistics 101B
Week eight, Session two
Professor Esfandiari
The objective of this part of the lecture is to revisit variance inflation factor
resulting from multicollinearity and discuss how this problem can be dealt
with.
As we discussed last time, V
1
Week nine session two
Logistic Regression
Professor Esfandiari
So far we have talked about situations in which the
outcome variable is quantitative. In this lecture we are
going to talk about a situation in which the outcome
variable is binom
Statistics 101B
Week eights
Session Three
Professor Esfandiari
The objective of this part of the lecture is to continue the subject of variable
selection.
Last session we talked a
1
Statistics 101B
Week nine Session one
Professor Esfandairi
The objective of this lecture is to review the major concepts that we have discussed after
the midterm and relate them to what you
Statistics 101B
Week eights
Session Three
Professor Esfandiari
The objective of this part of the lecture is to continue the subject of variable
selection.
Last session we talked a
Statistics 101A
Prepared by: Professor Esfandiari
Edited By: Akram Almohalwas
The objective of this lecture is to talk about checking assumptions for multiple linear
regression.
The assumptions of MLR are the same as SLR. However, there are cases where mo
Instructor Name kE/T
Class Meeting Time Red Id
STAT 119 EXAM ONE
March 3, 2015
Form B
\
In order to get credit you must
Write your red id number in the appropriate space on the ParScore form
Identify the test form version in the appropriate space on your
MW
Stat 296 Recitation Assignment #2 Name: "V /
Section #5 Velado Red ID:
1. Identify each of thefollowing variables as categorical or quantitative.
Gender. C,
Number of parking tickets given on a day by SDSU campus police. a
The napping time of students
A
Sample free response: exam 1
Use the followin information to answer roblems 15
The US. Food and Drug Administration (FDA) require nutrition labeling on most foods. The nutritional
content for one cup of each of 21 different breakfast cereals was record
Stat 296 Recitation Assignment #2
Section #6 Velado
Name: _
Red ID: _
1. Identify each of the following variables as categorical or quantitative.
a. Gender.
b. Number of parking tickets given on a day by SDSU campus police.
c. The napping time of students
Stat 119 recitation assignment #4 Name: Z \. 2; \
Section #7 Velado Red id:
1. Use the plots below to answer the following questions:
Plot A Plot B
Y
12141618202224
in
m
V N
Q ~
v N
g a
=~ c: >. 92
ca
32
m
N r
T.
c:
m to
V
20 25 3O 35 4O
X '3
Whi
K57

]. What are at least two major differences between histograms and bar charts, and what is
one similarity?
Stat 119 recitation assignment #3 Name:
Section #5 Velado Red id:
2. Draw a histogram based on the following frequency table
! Class Interval C
Stat 119 recitation assignment #4
Section #6 Velado
Name: _
Red id: _
1. Use the plots below to answer the following questions:
40
Plot B
25
30
y
35
12 14 16 18 20 22 24
6
8
10
12
Plot C
Plot D
40
y
35
y
30
25
25
30
35
40
x
a.
b.
c.
d.
16
x
20
20
14
x
45
A
Stat 119 recitation assignment #3
Section #6 Velado
Name: _
Red id: _
1. What are at least two major differences between histograms and bar charts, and what is
one similarity?
2. Draw a histogram based on the following frequency table
Class Interval
Cla
Md
Instructor Name
Class Meeting Time Red Id
STAT 119 EXAM ONE
October 2, 2014
Form B
In order to get credit you must
> Write your red id number in the appropriate space on the ParScore form
. > Identify the test form version in the appropriate space on y
Problem No.1:
(a)
The probability of pieces are expected to be shorter than 195 inches is 0.0062097, so
10,000X0.0062097=62.097. Therefore, about 62 pieces are expected to be shorter
than 195 inches.
(b)
1
The probability of pieces are expected to be long
Statistical Process
Control
BPS chapter 27
2006 W.H. Freeman and Company
Flowcharts
In the following flowchart,
what happens if the
check for size is not
O.K.?
a)
b)
c)
d)
Deburr
Heat billet to the required
temperature.
Check to see if oversize.
Scrap.
F
Problem No. 2
(a) 4^2 2.3^2 1.7^2 = 2.8
(b) 6*SQRT (2.3^2+1.7^2)/20 = 0.86
(c) 2.8^2/4^2=0.49
SQRT (2*0.49/0.51)=1.39
(d) Provide training.
Problem No.3
Descriptive Statistics: DOI
Variable
Maximum
DOI
85.000
N
N*
10
0
Mean
80.700
SE Mean
StDev
Minimum
Q1
STAT 250 Midterm 1 Study Guide
Chapter 1: Collecting Data in Reasonable Ways
Distinguish between population and sample
o Explain the difference between a census and a sample
Census: whole population; sample: small representation of population
o Explain t
My name is Tim. I was born in China in 1998. I lived and went to school there for
17 years. I have been a fencing player since 2007. In last August, I went to San Diego
for study. I have gone a good Chinese restaurant in San Diego, it is called Sizzling
P
Describing Bivariate Numerical
Data
STAT 250
Lecture 3
Learning Outcomes
Describe the relationship between two
numeric variables from a scatterplot
Use correlation to measure the strength and
direction of a linear relationship. Interpret
correlation.
C
What Can We Learn from
Quantitative Data in Statistics
Education Research?
Sterling Hilton Brigham Young University
Andy Zieffler University of Minnesota
John Holcomb Cleveland State University
Marsha Lovett Carnegie Mellon University
University of Minnes
Collecting Data in Reasonable Ways
STAT 250
Lecture 1A
Science of Statistics (3 Steps)
1.Collecting Data
2.Describing Data
3.Inference
Collecting Data
Types of Statistical Studies
Planning an Observational Study
Designing an Experiment
The Role of Ran