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Collaborative Statistics
(col10522)
Authors:
Barbara Illowsky, Ph.D.
,
Susan Dean
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:
99.91%
Revised:
2009-08-05
Revisions:
36
Collaborative Statistics (with edits: Teegarden)
(col10561)
Author:
Mary Teegarden
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 courses offered by many California community colleges in regular and honors-level classroom settings and in distance learning classes ... Mary Teegarden.
[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 courses offered by many California community colleges 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. The labs have been modified to include information on mini-tabs by Mary Teegarden.
[Collapse Summary]
Subject:
Mathematics and Statistics
Language:
English
Popularity:
93.17%
Revised:
2009-07-20
Revisions:
3
Sampling and Data: Summary
(m16023)
Authors:
Susan Dean
,
Barbara Illowsky, Ph.D.
Keywords:
cluster
,
continuous
,
convenience
,
cumulative
,
data
,
discrete
,
frequency
,
parameter
,
population
,
probability
,
qualitative
,
quantitative
,
random
,
relative
,
replacement
,
sample
,
sampling
,
simple
,
statistic
,
statistics
,
stratified
,
systematic
,
variable
Summary:
This module provides an outline/review of key concepts related to statistical sampling and data.
Subject:
Mathematics and Statistics
Language:
English
Popularity:
92.02%
Revised:
2008-10-27
Revisions:
8
Discrete Random Variables: Review
(m16832)
Authors:
Susan Dean
,
Barbara Illowsky, Ph.D.
Keywords:
discrete
,
distribution
,
elementary
,
exercise
,
function
,
homework
,
practice
,
probability
,
random
,
review
,
statistics
,
variable
Summary:
This module provides a number of homework/review exercises summarizing topics related to Discrete Random Variables.
Subject:
Mathematics and Statistics
Language:
English
Popularity:
80.08%
Revised:
2009-02-18
Revisions:
9
Discrete Random Variables: Mean or Expected Value and Standard Deviation
(m16828)
Authors:
Susan Dean
,
Barbara Illowsky, Ph.D.
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:
98.80%
Revised:
2009-02-23
Revisions:
12
Discrete Random Variables: Summary of the Discrete Probability Functions
(m16833)
Authors:
Susan Dean
,
Barbara Illowsky, Ph.D.
Keywords:
binomial
,
discrete
,
elementary
,
formula
,
function
,
geometric
,
hypergeometrical
,
Poisson
,
probability
,
random
,
statistics
,
variable
Summary:
This module provides a review of the binomial, geometric, hypergeometric, and Poisson probability distribution functions and their properties.
Subject:
Mathematics and Statistics
Language:
English
Popularity:
86.86%
Revised:
2009-02-07
Revisions:
8
Brief Notes on Signals and Systems
(col10565)
Author:
C. Sidney Burrus
Institution:
Rice University
Keywords:
analog
,
continuous time
,
discrete time
,
Fourier
,
Signals
,
Systems
Summary:
This collection is a brief and concise set on notes on continuous and discrete time signals and systems with some information on up and down sampling and a brief introduction to wavelets.
Subject:
Science and Technology
Language:
English
Popularity:
91.18%
Revised:
2009-09-14
Revisions:
7
Discrete Random Variables: Probability Distribution Function (PDF) for a Discrete Random Variable
(m16831)
Authors:
Susan Dean
,
Barbara Illowsky, Ph.D.
Keywords:
discrete
,
distribution
,
elementary
,
function
,
PDF
,
probability
,
random
,
statistics
,
variable
Summary:
This module introduces the Probability Distribution Function (PDF) and its characteristics.
Subject:
Mathematics and Statistics
Language:
English
Popularity:
97.92%
Revised:
2009-01-25
Revisions:
11
Discrete Random Variables: Hypergeometric (optional)
(m16824)
Authors:
Susan Dean
,
Barbara Illowsky, Ph.D.
Keywords:
discrete
,
distribution
,
elementary
,
experiment
,
function
,
hypergeometric
,
probability
,
random
,
statistics
,
variable
Summary:
This module describes the properties of a hypergeometric experiment and hypergeometric probability distribution. This module is included in the Collaborative Statistics textbook/collection as an optional lesson.
Subject:
Mathematics and Statistics
Language:
English
Popularity:
90.51%
Revised:
2009-02-18
Revisions:
12
Discrete Random Variables: Geometric (optional)
(m16822)
Authors:
Susan Dean
,
Barbara Illowsky, Ph.D.
Keywords:
discrete
,
distribution
,
elementary
,
function
,
geometric
,
probability
,
random
,
statistics
,
variable
Summary:
This module describes the geometric experiment and the geometric probability distribution. This module is included in the Collaborative Statistics textbook/collection as an optional lesson.
Subject:
Mathematics and Statistics
Language:
English
Popularity:
86.98%
Revised:
2009-02-07
Revisions:
13
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