Skip to content.
|
Skip to navigation
Log In
Contact Us
Report a Bug
Search Site
Connexions
Sections
Home
Content
Lenses
About Us
Help
MyCNX
You are here:
Home
»
Content
Browse by Author:
Barbara Illowsky, Ph.D.
View author profile
Return to Browsing Content
|
Search for Content
Content by Barbara Illowsky, Ph.D.
Other authors' collections containing modules by Barbara Illowsky, Ph.D.
Content based on works by Barbara Illowsky, Ph.D. (derived copies)
(What are
modules
and
collections
?)
Sort by:
Popularity
Language
Revision Date
Title
Type
Results per page:
10
25
100
View:
Detail
|
Compact
|
Statistics
« Previous
11
1
2
[
3
]
Quantitative Information Analysis III
(col11155)
Author:
Jeffrey Stanton
Institution:
Syracuse University
Keywords:
anova
,
binomial
,
bivariate
,
central
,
chi
,
confidence
,
continuous
,
data
,
dean
,
descriptive
,
discrete
,
distribution
,
elementary
,
exponential
,
geometric
,
hypergeometric
,
hypothesis
,
illowsky
,
intervals
,
limit
,
linear
,
mean
,
normal
,
poisson
,
probability
,
random
,
regression
,
sampling
,
square
,
statistics
,
student-t
,
testing
,
theorem
,
uniform
,
univariate
,
variables
Summary:
These chapters are a subset of Collaborative Statistics, written by Barbara Illowsky and Susan Dean, faculty members at De Anza College in Cupertino, California. The textbook was developed over several years and has been used in regular and honors-level classroom settings and in distance learning classes. This textbook is ... behind it.
[Expand Summary]
These chapters are a subset of Collaborative Statistics, written by Barbara Illowsky and Susan Dean, faculty members at De Anza College in Cupertino, California. The textbook was developed over several years and has been used in regular and honors-level classroom settings and in distance learning classes. This textbook is intended for introductory statistics courses being taken by students at two– and four–year colleges who are majoring in fields other than math or engineering. Intermediate algebra is the only prerequisite. The book focuses on applications of statistical knowledge rather than the theory behind it.
[Collapse Summary]
Subject:
Mathematics and Statistics
Language:
English
Popularity:
77.48%
Revised:
2009-12-25
Revisions:
New
« Previous
11
1
2
[
3
]
Popularity is measured as percentile rank of page views/day over all time
My Account
Username
Password
Cookies are not enabled. You must
enable cookies
before you can log in.
Get an account
Forgot your password?
Repository
Total Collections:
1326
Visit a random collection
Total Modules:
22025
Visit a random module