Chapter 10
s 2=
SSE
n2
^
CI for 1= 1 (t ) s/
s=
Test for 1 :t=
2
^
10
s
CI for E ( y )when x=x ^ : ^ (t ) s
p y
2
CI for y when x=x ^ : ^ (t ) s
p y
2
Quadratic Model(QNx): E( y)= 0 + 1 x + 2 x
2
'
2
2
Complete 2 nd Order Model(QN x s ): E( y)= 0 +
HW 2
1.
A) The data has a reasonably bell shaped distribution. I see extremely few outliers (particularly
one between 100.625 and 100.875)
B) I think the mean for body temperatures is 98.6 degrees Fahrenheit (37 degrees Celsius)
C) Since the distribution
Assignment VI
Due date: 3:30 PM 4/11/7
1. Use MINITAB data file is posted on NYU classes.
The data in Used cars data file indicate the prices of 115 used BMW cars. Some have four-wheel
drive (the model identified by the Xi type and the others two-wheel dr
33
Representations in an Electronic Age:
Geography, GIS, and Democracy
John Pickles
1995. In, Ground Truth: The Social Implications of Geographic Information Systems.
New York: The Guilford Press, pp. 1-30.1
The slow, uneven decline of these interlinked c
Ch. 1- Statistics, Data, and Statistical Thinking
I.
The Science of Statistics
A. Statistics: the science of data involving collecting, classifying, summarizing,
organizing, analyzing, and interpreting numerical info
II.
Types of Statistical Applications
Ch. 3- Probability
I.
Events, Samples Spaces, and Probability
A. Pictorial methods for representing sample space are often helpful
1. can be in the form of a tree diagram, Venn diagram, table, etc
B. An experiment will result in only one basic outcome (sa
Ch. 4- Random Variables and Probability Distributions
I.
Two Types of Random Variables
II.
Probability Distributions for Discrete Random Variables
III.
The Binomial Distribution
IV.
Other Discrete Distributions: Poisson and Hypergeometric
V.
Probability D
Ch. 2- Methods for Describing Sets of Data
I.
Describing Qualitative Data
A. can be classified only into 2 categories called classes
1. can summarize such data numerically in two ways:
a) by computing the class frequency
b) by computing the class relative