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: cumulative, data, frequency, relative, sampling, statistics, systematic

Summary: This lab allows students to practice and demonstrate techniques used to generate systematic samples. Students will have the opportunity to create relative frequency tables and interpret results based on different data groupings. Labs modified to include minitab usage. This replaces the Chapter 1, Lab 1 from the Collaborative Statistics by Dean and Illowsky.

Keywords: Chevyshev’s Theorem, spread, standard deviation

Summary: This module explains Chevyshev’s Theorem as it pertains to the spread of non-normal data. Given an data set, Chevyshev’s Theorem gives a worst case scenario for the percentage of data within a given number of standard deviations from the mean.

Keywords: article, elementary, hypothesis, statistics, survey, test

Summary: In this project, students will identify real-world examples of hypothesis testing in the media. Students will then conduct their own survey and compare results. This is a group project.

Keywords: confidence interval, outliers

Summary: This lab incorporate both lab 1 and lab 2 with minitab.