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Mathematics

Second-order subjects in Mathematics include Algebra, Calculus, Functions, Geometry, Numbers and Operations, Measurement and Data, Ratios and Proportions, Statistics and Probability, and Trigonometry.

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Calculus Volume 2
Unrestricted Use
CC BY
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Calculus is designed for the typical two- or three-semester general calculus course, incorporating innovative features to enhance student learning. The book guides students through the core concepts of calculus and helps them understand how those concepts apply to their lives and the world around them. Due to the comprehensive nature of the material, we are offering the book in three volumes for flexibility and efficiency. Volume 2 covers integration, differential equations, sequences and series, and parametric equations and polar coordinates.

Subject:
Calculus
Mathematics
Material Type:
Textbook
Provider:
Rice University
Provider Set:
OpenStax College
Author:
Alfred K. Mulzet
Catherine Abbott
David McCune
David Smith
David Torain
Edwin “Jed” Herman
Elaine A. Terry
Erica M. Rutter
Gilbert Strang
Joseph Lakey
Joyati Debnath
Julie Levandosky
Kirsten R. Messer
Michelle Merriweather
Nicoleta Virginia Bila
Sheri J. Boyd
Valeree Falduto
William Radulovich
Date Added:
02/01/2016
Introductory Statistics
Unrestricted Use
CC BY
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Introductory Statistics follows scope and sequence requirements of a one-semester introduction to statistics course and is geared toward students majoring in fields other than math or engineering. The text assumes some knowledge of intermediate algebra and focuses on statistics application over theory. Introductory Statistics includes innovative practical applications that make the text relevant and accessible, as well as collaborative exercises, technology integration problems, and statistics labs.

Subject:
Mathematics
Statistics and Probability
Material Type:
Textbook
Provider:
Rice University
Provider Set:
OpenStax College
Author:
Barbara Ilowsky
Susan Dean
Date Added:
07/19/2013
Introductory Statistics for the Life and Biomedical Sciences
Conditional Remix & Share Permitted
CC BY-SA
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Introduction to Statistics for the Life and Biomedical Sciences has been written to be used in conjunction with a set of self-paced learning labs. These labs guide students through learning how to apply statistical ideas and concepts discussed in the text with the R computing language.

The text discusses the important ideas used to support an interpretation (such as the notion of a confidence interval), rather than the process of generating such material from data (such as computing a confidence interval for a particular subset of individuals in a study). This allows students whose main focus is understanding statistical concepts to not be distracted by the details of a particular software package. In our experience, however, we have found that many students enter a research setting after only a single course in statistics. These students benefit from a practical introduction to data analysis that incorporates the use of a statistical computing language.

In a classroom setting, we have found it beneficial for students to start working through the labs after having been exposed to the corresponding material in the text, either from self-reading or through an instructor presenting the main ideas. The labs are organized by chapter, and each lab corresponds to a particular section or set of sections in the text.

There are traditional exercises at the end of each chapter that does not require the use of computing. More complicated methods, such as multiple regression, do not lend themselves to hand calculation and computing is necessary for gaining practical experience with these methods. The lab exercises for these later chapters become an increasingly important part of mastering the material.

An essential component of the learning labs are the "Lab Notes" accompanying each chapter. The lab notes are a detailed reference guide to the R functions that appear in the labs, written to be accessible to a first-time user of a computing language. They provide more explanation than available in the R help documentation, with examples specific to what is demonstrated in the labs. The notes cover topics such as constructing histograms, writing loops, and running regression models.

Subject:
Applied Science
Biology
Health, Medicine and Nursing
Life Science
Mathematics
Statistics and Probability
Material Type:
Activity/Lab
Textbook
Author:
Dave Harrington
Julie Vu
Date Added:
01/08/2021
MyOpenMath
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MyOpenMath is an online course management and assessment system for mathematics and other quantitative fields. MyOpenMath’s focus is providing rich algorithmically generated assessment to support the use of free, open textbooks like the ones listed on OpenTextBookStore.com.

MyOpenMath is a collaborative community of users. MyOpenMath.com provides managed hosting of the open source IMathAS online assessment software. Questions and pre-built courses are all created by faculty in the user community and shared with others in the spirit of openness. Experienced users provide peer-to-peer support through discussion forums.

MyOpenMath.com is operated by the non-profit organization MyOpenMath.

Subject:
Mathematics
Material Type:
Activity/Lab
Homework/Assignment
Author:
David Lippman
Date Added:
01/25/2022
Statistical Analysis in JASP
Unrestricted Use
CC BY
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0.0 stars

A student's guide to performing frequentist statistical analyses using JASP. This document is a collection of standalone handouts covering the most common standard (frequentist) statistical analyses used by students studying Biological Sciences. Datasets used in this document are available for download from: https://osf.io/bx6uv/.

Subject:
Mathematics
Statistics and Probability
Material Type:
Textbook
Author:
Mark Goss-Sampson
Date Added:
01/25/2022
Statistics Using Technology
Conditional Remix & Share Permitted
CC BY-SA
Rating
0.0 stars

From the website: "Statistics With Technology, Second Edition, is an introductory statistics textbook. It uses the TI-83/84 calculator and R, an open source statistical software, for all calculations. Other technology can also be used besides the TI-83/84 calculator and the software R, but these are the ones that are presented in the text. This book presents probability and statistics from a more conceptual approach, and focuses less on computation. Analysis and interpretation of data is more important than how to compute basic statistical values.
License: Creative Commons Attribution Sharealike. This license is considered to be some to be the most open license. It allows reuse, remixing, and distribution (including commercial), but requires any remixes use the same license as the original. This limits where the content can be remixed into, but on the other hand ensures that no-one can remix the content then put the remix under a more restrictive license.
Formats:
DOC. A DOC file can be opened using Microsoft Word or OpenOffice.org. It is an editable format
PDF. A Portable Document Format (PDF) file is can be opened using the free Acrobat Reader. It is not an editable format.
Openness Rating (0-4): 3.5"

Subject:
Mathematics
Material Type:
Textbook
Author:
Kate Kozak
Date Added:
01/01/2015