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:
Connexions
View author profile
Return to Browsing Content
|
Search for Content
Content by Connexions
Other authors' collections containing modules by Connexions
Content based on works by Connexions (derived copies)
Content maintained by Connexions
(What are
modules
and
collections
?)
Sort by:
Popularity
Language
Revision Date
Title
Type
Results per page:
10
25
100
View:
Detail
|
Compact
|
Statistics
[
1
]
2
3
4
...
71
Next
10
»
Collaborative Statistics
(col10522)
Authors:
Barbara Illowsky, Ph.D.
,
Susan Dean
Maintainers:
Barbara Illowsky, Ph.D.
,
Susan Dean
,
Connexions
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:
Collaborative Statistics was 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 ... behind it.
[Expand Summary]
Collaborative Statistics was 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:
99.96%
Revised:
2012-07-03
Revisions:
40
Sampling and Data: Frequency, Relative Frequency, and Cumulative Frequency
(m16012)
Authors:
Susan Dean
,
Barbara Illowsky, Ph.D.
Maintainers:
Susan Dean
,
Barbara Illowsky, Ph.D.
,
Connexions
Keywords:
cumulative
,
frequency
,
relative
,
statistics
Summary:
This module introduces the concepts of frequency, relative frequency, and cumulative relative frequency, and the relationship between these measures. Students will have the opportunity to interpret data through the sample problems provided.
Subject:
Mathematics and Statistics
Language:
English
Popularity:
99.93%
Revised:
2012-06-29
Revisions:
20
Collaborative Statistics: Symbols and their Meanings
(m16302)
Authors:
Susan Dean
,
Barbara Illowsky, Ph.D.
Maintainers:
Susan Dean
,
Barbara Illowsky, Ph.D.
,
Connexions
Keywords:
elementary
,
statistics
Summary:
This module defines symbols used throughout the Collaborative Statistics textbook.
Subject:
Mathematics and Statistics
Language:
English
Popularity:
99.72%
Revised:
2009-03-30
Revisions:
9
Descriptive Statistics: Skewness and the Mean, Median, and Mode
(m17104)
Authors:
Susan Dean
,
Barbara Illowsky, Ph.D.
Maintainers:
Susan Dean
,
Barbara Illowsky, Ph.D.
,
Connexions
Keywords:
elementary
,
statistics
Subject:
Mathematics and Statistics
Language:
English
Popularity:
99.65%
Revised:
2012-05-16
Revisions:
9
Probability Topics: Independent & Mutually Exclusive Events
(m16837)
Authors:
Susan Dean
,
Barbara Illowsky, Ph.D.
Maintainers:
Susan Dean
,
Barbara Illowsky, Ph.D.
,
Connexions
Keywords:
chance
,
condition
,
exclusive
,
independent
,
mutually
,
outcome
,
Probability
,
Statistics
Summary:
Probability: Independent and Mutually Exclusive Events is part of the collection col10555 written by Barbara Illowsky and Susan Dean and explains the concept of independent events, where the probability of event A does not have any effect on the probability of event B, and mutually exclusive events, where events A ... Roberta Bloom.
[Expand Summary]
Probability: Independent and Mutually Exclusive Events is part of the collection col10555 written by Barbara Illowsky and Susan Dean and explains the concept of independent events, where the probability of event A does not have any effect on the probability of event B, and mutually exclusive events, where events A and B cannot occur at the same time. The module has contributions from Roberta Bloom.
[Collapse Summary]
Subject:
Mathematics and Statistics
Language:
English
Popularity:
99.52%
Revised:
2012-03-15
Revisions:
14
Discrete Random Variables: Mean or Expected Value and Standard Deviation
(m16828)
Authors:
Susan Dean
,
Barbara Illowsky, Ph.D.
Maintainers:
Susan Dean
,
Barbara Illowsky, Ph.D.
,
Connexions
Keywords:
average
,
discrete
,
elementary
,
expected
,
large
,
law
,
long-term
,
mean
,
numbers
,
probability
,
random
,
statistics
,
variable
Summary:
This module explores the Law of Large Numbers, the phenomenon where an experiment performed many times will yield cumulative results closer and closer to the theoretical mean over time.
Subject:
Mathematics and Statistics
Language:
English
Popularity:
99.33%
Revised:
2012-05-27
Revisions:
16
Fundamentals of Mathematics
(col10615)
Authors:
Denny Burzynski
,
Wade Ellis
Maintainers:
Denny Burzynski
,
Wade Ellis
,
Judy Baker
,
Math Editors
,
UniqU, LLC
,
Connexions
Keywords:
addition
,
decimals
,
fractions
,
fundamentals
,
k-12
,
mathematics
,
pre-algebra
,
prealgebra
,
signed numbers
,
subtraction
Summary:
Fundamentals of Mathematics is a work text that covers the traditional topics studied in a modern prealgebra course, as well as topics of estimation, elementary analytic geometry, and introductory algebra. It is intended for students who have had a previous course in prealgebra, wish to meet the prerequisite of a ... and techniques.
[Expand Summary]
Fundamentals of Mathematics is a work text that covers the traditional topics studied in a modern prealgebra course, as well as topics of estimation, elementary analytic geometry, and introductory algebra. It is intended for students who have had a previous course in prealgebra, wish to meet the prerequisite of a higher level course such as elementary algebra, and need to review fundamental mathematical concepts and techniques.
[Collapse Summary]
Subject:
Mathematics and Statistics
Language:
English
Popularity:
99.29%
Revised:
2010-08-18
Revisions:
4
Confidence Intervals: Confidence Interval, Single Population Mean, Population Standard Deviation Known, Normal
(m16962)
Authors:
Susan Dean
,
Barbara Illowsky, Ph.D.
Maintainers:
Susan Dean
,
Barbara Illowsky, Ph.D.
,
Connexions
Keywords:
elementary
,
statistics
Summary:
Confidence Intervals: Confidence Interval, Single Population Mean, Population Standard Deviation Known, Normal is part of the collection col10555 written by Barbara Illowsky and Susan Dean with contributions from Roberta Bloom.
Subject:
Mathematics and Statistics
Language:
English
Popularity:
99.28%
Revised:
2012-06-09
Revisions:
23
Continuous Random Variables: The Exponential Distribution
(m16816)
Authors:
Susan Dean
,
Barbara Illowsky, Ph.D.
Maintainers:
Susan Dean
,
Barbara Illowsky, Ph.D.
,
Connexions
Keywords:
continuous
,
distribution
,
elementary
,
exponential
,
function
,
random
,
statistics
,
variable
Summary:
This module introduces the properties of the exponential distribution, the behavior of probabilities that reflect a large number of small values and a small number of high values.
Subject:
Mathematics and Statistics
Language:
English
Popularity:
99.16%
Revised:
2012-05-27
Revisions:
15
F Distribution and One-Way ANOVA: The F Distribution And The F Ratio
(m17076)
Authors:
Susan Dean
,
Barbara Illowsky, Ph.D.
Maintainers:
Susan Dean
,
Barbara Illowsky, Ph.D.
,
Connexions
Keywords:
alternate hypothesis
,
ANOVA
,
degrees of freedom
,
F Distribution
,
F Ratio
,
hypothesis test
,
means square
,
null hypothesis
,
One-Way Analysis of Variance
,
population
,
sample
,
Sir Ronald Fisher
,
statistics
,
sum of squares
,
variance
Summary:
This module describes how to calculate the F Ratio and F Distribution based on the hypothesis test for the One-Way ANOVA.
Subject:
Mathematics and Statistics
Language:
English
Popularity:
98.97%
Revised:
2012-07-03
Revisions:
14
[
1
]
2
3
4
...
71
Next
10
»
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:
1317
Visit a random collection
Total Modules:
21759
Visit a random module