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]

Keywords: elementary, exercise, homework, lab, long-term, probability, replacement, statistics

Summary: This module presents students with a lab exercise allowing them to apply their understanding of Probability. Using a Minitab simulation, students will compare theoretical probabilities with experimental probabilities as it relates to dice. They will also investigate the effect of sample size.

Keywords: box, continuous, distribution, elementary, empirical, exercise, histogram, lab, plot, statistics, uniform

Summary: In this lab exercise, students will compare and contrast empirical data using Minitab with the Uniform Distribution. Note: This module is based on a student being able to access the Minitab statistical program. This modu

Keywords: elementary, statistics

Summary: This module contains the author acknowledgements for the Collaborative Statistics textbook/collection.

Keywords: Bernoulli and multinomial trials, Compound demand, Conditional independence, Conditional probability, Distributions, General random variables, Independent events, Independent random variables, Markov systems, Matching problems, Matlab features, m-function, Minterm vectors and probabilities, m-procedure, m-program, Quantile functions, Simple random variables, User defined building blocks

Summary: User-defined functions as distinct from the basic MATLAB functions which are part of the MATLAB package. An m-procedure (or sometimes a procedure) is an m-file containing a set of MATLAB commands which carry out a prescribed set of operation