This worksheet can be used as an in-class group worksheet or as a prequel to the lecture on this section. Students will describe each of the theorems introduced and give an example to show how it is used. After completion, discussion should include examples of finding zeros and how these theorems are helpful in the process.
Material Type: Lesson Plan
This resource is a collection of full hour-long lectures and accompanying notes covering most of chapters 6-10 of the OpenStax Algebra and Trigonometry book. The notes are provided in both .DOCX and .PDF format to accommodate downloading ease. Students should be encouraged to print notes and fill them out as they watch through the lectures.
Material Type: Full Course
This book was designed as an introductory trigonometry textbook for college students with the explicit goal of reducing textbook costs.
Material Type: Textbook
Book description: This is a text on elementary trigonometry, designed for students who have completed courses in high-school algebra and geometry. Though designed for college students, it could also be used in high schools. The traditional topics are covered, but a more geometrical approach is taken than usual. Also, some numerical methods (e.g. the secant method for solving trigonometric equations) are discussed. A brief tutorial on using Gnuplot to graph trigonometric functions is included. There are 495 exercises in the book, with answers and hints to selected exercises.
Material Type: Textbook
This series of instructional videos was created by Camosun College for a Canadian edition of the OpenStax "Concepts of Biology" open textbook as part of the BC Open Textbook Project. The lectures are taught by Charles Molnar, a Biology instructor at Camosun College. The videos are accompanied by transcripts.
Material Type: Lecture
This activity is intended as an exercise in deductive logic. The students perform a series of "experiments" in which they try to identify which predators eat which specific prey (Each predator eats one and only one prey). The instructions are on the site. students may also click on the blue square to make the game full screen. A worksheet is added for students to record their results. This also is an exercise in articulating the logic used in the study. (Most students have no trouble figuring out the relationships). Writing down their results and conclusions is a bit trickier. ) This has been used for community college classes. It can be used at lower levels such as high school or even middle school without the worksheet.
Material Type: Game
This Instructor’s Guide contains the brief outlines of Chapters 12-21 as found in Concepts of Biology, though some underwent revision. Also, instructors will find detailed outlines of the text for use in lecturing, as well as structured outlines that may be used by students to take notes while reading the chapter or during lecture. All outlines are derived from the OpenStax text. Additionally, study guides that contain a variety of questions are provided for students.
Material Type: Lecture Notes, Student Guide, Teaching/Learning Strategy
This activity by Lauren Roberts guides students through the process of finding, vetting, summarizing, and citing a scientific article. Professor Roberts is from South Mountain Community College in Arizona's Maricopa Community College District.
Material Type: Activity/Lab
This resource has been created for my students enrolled in my Fundamentals of Biology course at West Hills Community College in Lemoore, CA.
Material Type: Assessment, Homework/Assignment, Lecture Notes, Teaching/Learning Strategy, Textbook
This resource was created by me for use with my community college students enrolled in Fundamentals of Biology by Open Stax
Material Type: Activity/Lab, Homework/Assignment, Lecture Notes, Module, Unit of Study
This guide compiles key terms from the OpenStax Concept of Biology book in a single document, organized by chapter, for quick vocabulary study. Developed and provided by Stephan George, adjunct professor at Paradise Valley Community College.
Material Type: Student Guide
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)
Material Type: Full Course
This resource is a collection of short closed-captioned lectures that accompany the power points covering most of chapters 1,2,3, 6, 9, 11, 12, and 13 of the OpenStax Introductory Statistics book. The Power Points are provided in both .PPT and .PDF format to accommodate downloading ease. The notes are in .DOC format.
Material Type: Full Course, Lecture
This collection of spreadsheet-based labs was funded as part of the Digital Learning Research Network (dLRN) made possible by a grant from the Bill and Melinda Gates Foundation. The labs were adapted from the Statistics book, “Introduction to Statistics,” published by OpenStax College. The original labs used graphing calculators and were found within the book after each chapter. These interactive spreadsheet-based labs are effective for online and face-face courses. They may also be used with the book (see Resource: Lab Mapping to Book Chapters) or stand-alone.Authors: Barbara Illowsky PhD, Foothill-De Anza Community College District; Larry Green PhD, Lake Tahoe Community College; James Sullivan, Sierra College; Lena Feinman,College of San Mateo; Cindy Moss, Skyline College; Sharon Bober, Pasadena Community College; Lenore Desilets, De Anza Community College.Lab Mapping to Book ChaptersGrading RubricLabsUnivariarate Data Normal DistributionCentral Limit TheoremHyporhesis Test - Single MeanHyporhesis Test - Single ProportionGoodness of FitLinear Regression
Material Type: Module
This supplement is designed for MTH 243 at Portland Community College and is used in conjunction with OpenStax Statistics: https://openstax.org/details/introductory-statistics
Material Type: Activity/Lab
Introductory Statistics is intended for the one-semester introduction to statistics course for students who are not mathematics or engineering majors. It focuses on the interpretation of statistical results, especially in real world settings, and assumes that students have an understanding of intermediate algebra. In addition to end of section practice and homework sets, examples of each topic are explained step-by-step throughout the text and followed by a Try It problem that is designed as extra practice for students. This book also includes collaborative exercises and statistics labs designed to give students the opportunity to work together and explore key concepts. While the book has been built so that each chapter builds on the previous, it can be rearranged to accommodate any instructor’s particular needs.
Material Type: Textbook
Online Statistics: An Interactive Multimedia Course of Study is an introductory-level statistics book. The material is presented both as a standard textbook and as a multimedia presentation. The book features interactive demonstrations and simulations, case studies, and an analysis lab.
Material Type: Case Study, Full Course, Simulation, Textbook
This is an Internet-based probability and statistics E-Book. The materials, tools and demonstrations presented in this E-Book would be very useful for advanced-placement (AP) statistics educational curriculum. The E-Book is initially developed by the UCLA Statistics Online Computational Resource (SOCR). However, all statistics instructors, researchers and educators are encouraged to contribute to this project and improve the content of these learning materials. There are 4 novel features of this specific Statistics EBook. It is community-built, completely open-access (in terms of use and contributions), blends information technology, scientific techniques and modern pedagogical concepts, and is multilingual.
Material Type: Textbook
