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Keywords: uniform
(Complete Item Description)
- Abstract: 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. The textbook is also available in printed form from Qoop.com.
- Subject:
Mathematics and Statistics
- Grade Level:
Post-secondary
- Collection:
Connexions
(Complete Item Description)
- Abstract: This is a custom collection (by R. Bloom) of homework and review problems to accompany Collaborative Statistics textbook custom collection by R. Bloom. Content is derived from Collaborative Statistics written by Barbara Illowsky and Susan Dean, faculty members at De Anza College in Cupertino, California. The textbook by S. Dean and B. Illowsky 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. This custom version of their collection has been modified by R. Bloom for her classes at De Anza College.
- Subject:
Mathematics and Statistics
- Grade Level:
Secondary, Post-secondary
- Collection:
Connexions
(Complete Item Description)
- Abstract: 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. This custom textbook collection has been modified by R. Bloom for her classes at De Anza College; the homework content for the custom collection is now contained in a separate homework collection.
- Subject:
Mathematics and Statistics
- Grade Level:
Secondary, Post-secondary
- Collection:
Connexions
(Complete Item Description)
- Abstract: This module serves as an introduction to the Continuous Random Variables chapter in the Elementary Statistics textbook. The original module by S. Dean and B. Illowsky has been revised; concepts removed from the original version of module are discussed in R. Bloom's module Continuous Random Variables: Properties of Continuous Probability Distributions
- Subject:
Mathematics and Statistics
- Grade Level:
Secondary, Post-secondary
- Collection:
Connexions
(Complete Item Description)
- Abstract: In this module the student will explore the properties of data with a uniform distribution. The original module of practice problems for the Uniform distribution in Collaborative Statistics by Dr. Barbara Illowsky and Susan Dean has been modified by removing the problems involving conditional probability.
- Subject:
Mathematics and Statistics
- Grade Level:
Post-secondary
- Collection:
Connexions
(Complete Item Description)
- Abstract: A discussion of the ULA, its properties, the array that we used for our project, and an introduction to beamforming.
- Subject:
Science and Technology
- Grade Level:
Post-secondary
- Collection:
Connexions
(Complete Item Description)
- Abstract: This course introduces students to probability and random variable. Topics include distribution functions, binomial, geometric, hypergeometric, and Poisson distributions. The other topics covered are uniform, exponential, normal, gamma and beta distributions; conditional probability; Bayes theorem; joint distributions; Chebyshev inequality; law of large numbers; and central limit theorem.
- Subject:
Mathematics and Statistics
- Grade Level:
Post-secondary
- Collection:
MIT OpenCourseWare
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