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Houston Reflections: Art in the City, 1950s, 60s and 70s
(col10526)
Author:
Sarah Reynolds
Institution:
Rice University Press
Keywords:
Adickes
,
Arts
,
Barnstone
,
Bolton
,
Bott
,
Boynton
,
Camfield
,
Collins
,
Cramer
,
Criner
,
Dixon
,
Edelman
,
Foney
,
Fridge
,
Gadbois
,
Harris
,
Hood
,
Houston
,
Hudnall
,
Johnson
,
Kilian
,
Lassiter
,
Love
,
Mayo
,
McConnell
,
Mears
,
Menil
,
Mills
,
Moore
,
Morris
,
Oliver
,
Pebworth
,
Prince
,
Reynolds
,
Sally
,
Samples
,
Sherwood
,
Simms
,
Staley
,
Stout
,
Surls
,
Winningham
,
Wray
Summary:
A collection of interviews, conducted by Sarah C. Reynolds, with Houston artists and other arts figures, all of whom proved influential in the growth of the contemporary Houston Arts scene.
Subject:
Arts
Language:
English
Popularity:
84.07%
Revised:
2008-05-06
Revisions:
2
Efficiency of Frequency-Domain Filtering
(m10279)
Author:
Don Johnson
Keywords:
buffering
,
digital signal processing
,
discrete-time
,
discrete-time filtering
,
DSP
,
fast Fourier transform
,
FFT
,
filtering
,
frequency domain
Summary:
Compares the efficiency of frequency domain and time domain filtering.
Subject:
Science and Technology
Language:
English
Popularity:
84.63%
Revised:
2009-06-11
Revisions:
17
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
Sampling and Data: Key Terms
(m16007)
Authors:
Susan Dean
,
Barbara Illowsky, Ph.D.
Keywords:
average
,
categorical
,
data
,
numerical
,
parameter
,
population
,
proportion
,
representative
,
sample
,
sampling
,
statistic
,
variable
Summary:
This module introduces a number of key terms related to statistical sampling and data.
Subject:
Mathematics and Statistics
Language:
English
Popularity:
95.14%
Revised:
2009-02-18
Revisions:
14
Sampling and Data: Homework
(m16010)
Authors:
Susan Dean
,
Barbara Illowsky, Ph.D.
Keywords:
continuous
,
cumulative
,
data
,
discrete
,
frequency
,
Homework
,
qualitative
,
quantitative
,
random
,
relative
,
sample
,
sampling
,
statistics
,
survey
Summary:
This module presents students with a number of problems related to statistical sampling and data. In particular, students are asked to demonstrate understanding of concepts such as frequency, relative frequency, and cumulative relative frequency, random samples, quantitative vs. qualitative data, continuous vs. discrete data, and other key terms related to sampling and data.
Subject:
Mathematics and Statistics
Language:
English
Popularity:
95.36%
Revised:
2009-02-18
Revisions:
16
Continuous Random Variables: Introduction
(m16808)
Authors:
Susan Dean
,
Barbara Illowsky, Ph.D.
Keywords:
continuous
,
distribution
,
elementary
,
exponential
,
function
,
graph
,
probability
,
random
,
statistics
,
uniform
,
variable
Summary:
This module serves as an introduction to the Continuous Random Variables chapter in the Elementary Statistics textbook.
Subject:
Mathematics and Statistics
Language:
English
Popularity:
94.87%
Revised:
2009-02-20
Revisions:
9
Continuous Random Variables: Practice 1
(m16812)
Authors:
Susan Dean
,
Barbara Illowsky, Ph.D.
Keywords:
continuous
,
distribution
,
elementary
,
exercise
,
function
,
graph
,
homework
,
practice
,
probability
,
random
,
statistics
,
uniform
,
variable
Summary:
In this module the student will explore the properties of data with a uniform distribution.
Subject:
Mathematics and Statistics
Language:
English
Popularity:
85.85%
Revised:
2009-02-18
Revisions:
10
Continuous Random Variables: Teacher's Guide
(m16814)
Authors:
Susan Dean
,
Barbara Illowsky, Ph.D.
Keywords:
continuous
,
distribution
,
elementary
,
exponential
,
function
,
guide
,
probability
,
random
,
statistics
,
teacher
,
uniform
,
variable
Summary:
This module is the complementary teacher's guide for the Continuous Random Variables chapter of the Collaborative Statistics collection (col10522) by Barbara Illowsky and Susan Dean.
Subject:
Mathematics and Statistics
Language:
English
Popularity:
71.51%
Revised:
2008-10-28
Revisions:
12
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