http://www.oercommons.org/browse/keyword/anova daily 1 2000-01-01T12:00+00:00 http://www.oercommons.org/courses/statistics-anova-3-hypothesis-test-with-f-statistic This 10-minute video lesson provies analysis of variance 3: Hypothesis test with F-statistic. [Statistics playlist: Lesson 77 of 85] Khan, Salman Mathematics and Statistics 2012-06-11T11:00:47 Course Related Materials http://www.oercommons.org/courses/statistics-anova-2-calculating-ssw-and-ssb-total-sum-of-squares-within-and-between This 13-minute video lesson provides analysis of variance 2: Calculating SSW and SSB (total sum of squares within and between). [Statistics playlist: Lesson 76 of 85] Khan, Salman Mathematics and Statistics 2012-06-11T11:00:47 Course Related Materials http://www.oercommons.org/courses/statistics-anova-1-calculating-sst-total-sum-of-squares This 8-minute video lesson provides analysis of variance 1: Calculating SST (Total Sum of Squares). [Statistics playlist: Lesson 75 of 85] Khan, Salman Mathematics and Statistics 2012-06-11T11:00:47 Course Related Materials http://www.oercommons.org/courses/introduction-to-statistics-2 This course covers descriptive statistics, the foundation of statistics, probability and random distributions, and the relationships between various characteristics of data. Upon successful completion of the course, the student will be able to: Define the meaning of descriptive statistics and statistical inference; Distinguish between a population and a sample; Explain the purpose of measures of location, variability, and skewness; Calculate probabilities; Explain the difference between how probabilities are computed for discrete and continuous random variables; Recognize and understand discrete probability distribution functions, in general; Identify confidence intervals for means and proportions; Explain how the central limit theorem applies in inference; Calculate and interpret confidence intervals for one population average and one population proportion; Differentiate between Type I and Type II errors; Conduct and interpret hypothesis tests; Compute regression equations for data; Use regression equations to make predictions; Conduct and interpret ANOVA (Analysis of Variance). (Mathematics 121; See also: Biology 104, Computer Science 106, Economics 104, Psychology 201) Mathematics and Statistics 2011-11-11T11:22:52 Course Related Materials http://www.oercommons.org/courses/collaborative-statistics-homework-book-custom-version-modified-by-r-bloom 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. Roberta Bloom Mathematics and Statistics 2009-06-17T01:07:02 Course Related Materials http://www.oercommons.org/courses/collaborative-statistics-custom-version-modified-by-r-bloom 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. Roberta Bloom Mathematics and Statistics 2009-06-17T01:07:02 Course Related Materials http://www.oercommons.org/courses/collaborative-statistics-solution-sheets-f-distribution-and-anova This module provides a solution sheet for use with the F Distribution and ANOVA chapter of the Collaborative Statistics textbook/collection. Barbara Illowsky, Ph.d. Susan Dean Mathematics and Statistics 2009-06-17T01:07:02 Course Related Materials http://www.oercommons.org/courses/f-distribution-and-anova-the-f-distribution-and-the-f-ratio This module describes how to calculate the F Ratio and F Distribution based on the hypothesis test for the ANOVA. Barbara Illowsky Susan Dean Mathematics and Statistics 2009-04-14T01:03:16 Course Related Materials http://www.oercommons.org/courses/f-distribution-and-anova-purpose-and-basic-assumption-of-anova This module describes the assumptions needed for implementing an ANOVA and how to set up the hypothesis test for the ANOVA. Barbara Illowsky Susan Dean Mathematics and Statistics 2009-04-14T01:03:16 Course Related Materials http://www.oercommons.org/courses/f-distribution-and-anova-introduction This module provides a brief introduction on handling hypothesis tests with two means by the one-way Analysis of Variance (ANOVA), F Distribution, and the Test of Two Variances statistical analysis. Barbara Illowsky Susan Dean Mathematics and Statistics 2009-04-14T01:03:16 Course Related Materials http://www.oercommons.org/courses/f-distribution-and-anova-test-of-two-variances This module provides the assumptions to be considered in order to calculate a Test of Two Variances and how to execute the Test of Two Variances. An example is provided to help clarify the concept. Barbara Illowsky Susan Dean Mathematics and Statistics 2009-04-14T01:03:16 Course Related Materials http://www.oercommons.org/courses/f-distribution-and-anova-facts-about-the-f-distribution This module states the factors associated with F Distributions and provides students with some examples to help further understand the concept. Students will be given the opportunity to see F Distributions in action through participation in an optional classroom exercise. Barbara Illowsky Susan Dean Mathematics and Statistics 2009-04-14T01:03:16 Course Related Materials http://www.oercommons.org/courses/collaborative-statistics 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. Dr. Barbara Illowsky Susan Dean Mathematics and Statistics 2008-09-12T23:38:27 Course Related Materials http://www.oercommons.org/courses/9-07-statistical-methods-in-brain-and-cognitive-science-spring-2004 Descriptive and inferential statistics for the behavioral and neurological sciences are considered. Techniques such as t-tests, factorial analysis of (co)variance, correlation, multiple regression, and nonparametric tests are introduced. Subject provides an introductory overview of some advanced methods such as path analysis, factor analysis, discriminant analysis, and analysis of functional MRI data. Basic issues of research design and methodology intimately associated with data analysis are discussed. Rosenholtz, Ruth Science and Technology 2006-03-20T23:43:00 Course Related Materials