Updating search results...

# 217 Results

View
Selected filters:
• Statistics and Probability
Conditional Remix & Share Permitted
CC BY-SA
Rating
0.0 stars

This textbook is part of the OpenIntro Statistics series and offers complete coverage of the high school AP Statistics curriculum. Real data and plenty of inline examples and exercises make this an engaging and readable book. Links to lecture slides, video overviews, calculator tutorials, and video solutions to selected end of chapter exercises make this an ideal choice for any high school or Community College teacher. In fact, Portland Community College recently adopted this textbook for its Introductory Statistics course, and it estimates that this will save their students \$250,000 per year. Find out more at: openintro.org/ahss

View our video tutorials here:
openintro.org/casio
openintro.org/TI

Subject:
Mathematics
Statistics and Probability
Material Type:
Textbook
Provider:
OpenIntro
Author:
Christopher Barr
David Diez
Leah Dorazio
Mine Cetinkaya-Rundel
08/13/2020
Only Sharing Permitted
CC BY-NC-ND
Rating
0.0 stars

This lesson centers around the How AI Works: Equal Access and Algorithmic Bias video from the How AI Works video series. Watch this video first before exploring the lesson plan.

In this lesson, students will practice cropping images to uncover the bias underlying the Twitter cropping algorithm. Then, students will read and watch a video about the discovery of this biased algorithm. Finally, students will discuss ways to recognize and reduce bias along with analyzing Twitter's response to the allegations of bias in their cropping algorithm.

This lesson can be taught on its own, or as part of a 7-lesson sequence on How AI Works. Duration: 45 minutes

Subject:
Computer Science
Information Technology
Mathematics
Statistics and Probability
Material Type:
Lesson Plan
Provider:
Code.org
Provider Set:
How AI Works
05/23/2024
Only Sharing Permitted
CC BY-NC-ND
Rating
0.0 stars

I designed the course for graduate students who use statistics in their research, plan to use statistics, or need to interpret statistical analyses performed by others. The primary audience are graduate students in the environmental sciences, but the course should benefit just about anyone who is in graduate school in the natural sciences. The course is not designed for those who want a simple overview of statistics; well learn by analyzing real data. This course or equivalent is required for UMB Biology and EEOS Ph.D. students. It is a recommended course for several of the intercampus graduate school of marine science program options.

Subject:
Mathematics
Statistics and Probability
Material Type:
Full Course
Provider:
UMass Boston
Provider Set:
UMass Boston OpenCourseWare
Author:
Eugene Gallagher
08/13/2020
Only Sharing Permitted
CC BY-NC-ND
Rating
0.0 stars

The primary learning objective of this textbook is to introduce the reader to the fundamental statistical methods and basic analytical procedures associated with processing data in regard to healthcare research. It is intended that by working through the applications and practice problems, readers should be able to understand and apply some of the methods for developing, implementing, and applying healthcare statistic principles in research.

Subject:
Health Sciences
Mathematics
Statistics and Probability
Material Type:
Textbook
Provider:
UPEI Pressbooks Network
Author:
Alyson Mahar
Krista Ritchie
Teri McComber
William Montelpare
05/19/2021
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

The Art of the Probable" addresses the history of scientific ideas, in particular the emergence and development of mathematical probability. But it is neither meant to be a history of the exact sciences per se nor an annex to, say, the Course 6 curriculum in probability and statistics. Rather, our objective is to focus on the formal, thematic, and rhetorical features that imaginative literature shares with texts in the history of probability. These shared issues include (but are not limited to): the attempt to quantify or otherwise explain the presence of chance, risk, and contingency in everyday life; the deduction of causes for phenomena that are knowable only in their effects; and, above all, the question of what it means to think and act rationally in an uncertain world. Our course therefore aims to broaden students’ appreciation for and understanding of how literature interacts with--both reflecting upon and contributing to--the scientific understanding of the world. We are just as centrally committed to encouraging students to regard imaginative literature as a unique contribution to knowledge in its own right, and to see literary works of art as objects that demand and richly repay close critical analysis. It is our hope that the course will serve students well if they elect to pursue further work in Literature or other discipline in SHASS, and also enrich or complement their understanding of probability and statistics in other scientific and engineering subjects they elect to take.

Subject:
Creative and Applied Arts
Language, Philosophy, and Culture
Literature
Mathematics
Philosophy
Religious Studies
Statistics and Probability
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Jackson, Noel
Kibel, Alvin
Raman, Shankar
01/01/2008
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

This course covers sensing and measurement for quantitative molecular/cell/tissue analysis, in terms of genetic, biochemical, and biophysical properties. Methods include light and fluorescence microscopies; electro-mechanical probes such as atomic force microscopy, laser and magnetic traps, and MEMS devices; and the application of statistics, probability and noise analysis to experimental data.

Subject:
Biology
Career and Technical Education
Electronic Technology
Life Science
Mathematics
Statistics and Probability
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
So, Peter
01/01/2006
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

Describe a bivariate relationship's linearity, strength, and direction. In other words, plotting things that take two variables into consideration and trying to see whether there's a pattern with how they relate.

Subject:
Mathematics
Statistics and Probability
Material Type:
Lecture
Author:
Salman Khan
03/23/2023
Only Sharing Permitted
CC BY-NC-ND
Rating
0.0 stars

This lesson centers around the How AI Works: Chatbots and Large Language Models video from the How AI Works video series. Watch this video first before exploring the lesson plan.

Large Language Models (LLMs) generate new text. The text LLMs generate looks like a human might have written it because large language models are built based on large bodies of text, such as Wikipedia. In this lesson, students learn what an LLM is and how it works, then use an LLM to co-create a text with AI. Finally, the class wraps up with a discussion about whether or not LLMs are intelligent or creative.

This lesson can be taught on its own, or as part of a 7-lesson sequence on How AI Works. Duration: 45 minutes

Subject:
Computer Science
Information Technology
Mathematics
Statistics and Probability
Material Type:
Lesson Plan
Provider:
Code.org
Provider Set:
How AI Works
05/23/2024
Unrestricted Use
CC BY
Rating
0.0 stars

Living in a big city like New York can be very challenging. City planning is an interdisciplinary enterprise where social scientists, humanists, psychologists, scientists, statisticians, citizens, politicians, etc. come together to offer solutions to improve quality of life in the city. To find such solutions, these people need clear and reliable (qualitative and quantitative) information about specific challenges that residents and visitors face For the variety of stakeholders in the city, many different things might be considered worthy of study, depending on their interests and needs regarding, e.g., employment, financial status, family size, healthcare, mobility, and education.
For example, do you know whether your neighborhood issufficiently protected from a fire? What about other neighborhoods in the city? To what extent does a CUNY degree help a person gain employment in the City? In which ways do race or gender or sexual preference play a role in how people experience city life? Can these be quantified in dollar terms? Once you have identified a problem, write an essay that describes a question
about city life that you believe is worthy of a statistical study.

Subject:
Mathematics
Statistics and Probability
Material Type:
Textbook
Provider:
Provider Set:
LaGuardia Community College
Author:
Milena Cuellar
01/01/2017
Unrestricted Use
CC BY
Rating
0.0 stars

Subject:
Mathematics
Statistics and Probability
Material Type:
Textbook
Author:
Edward Volchok
03/01/2023
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

Introduces students to the basic tools in using data to make informed management decisions. Covers introductory probability, decision analysis, basic statistics, regression, simulation, and linear and nonlinear optimization. Computer spreadsheet exercises and examples drawn from marketing, finance, operations management, and other management functions. Restricted to Sloan Fellows.

Subject:
Finance
Marketing
Mathematics
Statistics and Probability
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Carroll, John S.
01/01/2003
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

This course covers the analytical, graphical, and numerical methods supporting the analysis and design of integrated biological systems. Topics include modularity and abstraction in biological systems, mathematical encoding of detailed physical problems, numerical methods for solving the dynamics of continuous and discrete chemical systems, statistics and probability in dynamic systems, applied local and global optimization, simple feedback and control analysis, statistics and probability in pattern recognition.

Subject:
Genetics
Life Science
Mathematics
Statistics and Probability
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Alm, Eric
01/01/2006
Only Sharing Permitted
CC BY-NC-ND
Rating
0.0 stars

This lesson centers around the How AI Works: Computer Vision video from the How AI Works video series. Watch this video first before exploring the lesson plan.

Students learn how computer vision works. They first look at optical illusions to identify the features of the drawing that their eyes noticed. Students watch a video explaining computer vision and how a computer "sees". They design an algorithm that uses a network to decide what number the seven segment display is displaying. Finally, students test their algorithm.

This lesson can be taught on its own, or as part of a 7-lesson sequence on How AI Works. Duration: 45 minutes

Subject:
Computer Science
Information Technology
Mathematics
Statistics and Probability
Material Type:
Lesson Plan
Provider:
Code.org
Provider Set:
How AI Works
05/23/2024
Unrestricted Use
CC BY
Rating
0.0 stars

The course map shows the alignment between competencies, learning modules, assessments, learning activities, and instructional material for an applied statistics course.

Subject:
Management
Statistics and Probability
Material Type:
Syllabus
Author:
08/13/2021
Unrestricted Use
CC BY
Rating
0.0 stars

This outline will address the main topics in a Basic Statistics course.  Each topic will be accompanied by the corresponding textbook chapter and section from the Open Stax textbook, Introduction to Business Statistics, by Holmes, Illowsky, and Dean.  The outline also contains a column of OER Lecture Material.  This lecture material is in progress and will be added to the OERTX Repository.

Subject:
Statistics and Probability
Material Type:
Lesson Plan
Syllabus
Author:
Mark Leung
02/22/2022
Unrestricted Use
CC BY
Rating
0.0 stars

Introductory Statistics is a non-calculus based, descriptive statistics course with applications. Topics include methods of collecting, organizing, and interpreting data; measures of central tendency, position, and variability for grouped and ungrouped data; frequency distributions and their graphical representations; introduction to probability theory, standard normal distribution, and areas under the curve. Course materials created by Fahmil Shah, content added to OER Commons by Victoria Vidal.

Subject:
Mathematics
Statistics and Probability
Material Type:
Syllabus
Author:
Joanna Schimizzi
06/15/2023
Unrestricted Use
Public Domain
Rating
0.0 stars

This resource from the U.S. Census Bureau provides examples of Visualizations that can be utilized to discuss the various elements of statistics: Data Collection, Data Representation, Data Analysis, and Data Interpretation.

Subject:
Mathematics
Statistics and Probability
Material Type:
Activity/Lab
Diagram/Illustration
Homework/Assignment
Interactive
Author:
Us Census Bureau
05/12/2022
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

In an increasingly data-driven world, data and its use aren’t always all it’s cracked up to be. This course aims to address the critical lack of any or appropriate data in many areas where complex decisions need to be made.

For instance, how can you predict volcano activity when no eruptions have been recorded over a long period of time? Or how can you predict how many people will be resistant to antibiotics in a country where there is no available data at national level? Or how about estimating the time needed to evacuate people in flood risk areas?

In situations like these, expert opinions are needed to address complex decision-making problems. This course, aimed at researchers and professionals from any academic background, will show you how expert opinion can be used for uncertainty quantification in a rigorous manner.

Various techniques are used in practice. They vary from the informal and undocumented opinion of one expert to a fully documented and formal elicitation of a panel of experts, whose uncertainty assessments can be aggregated to provide support for complex decision making.

In this course you will be introduced to state-of-the-art expert judgment methods, particularly the Classical Model (CM) or Cooke’s method, which is arguably the most rigorous method for performing Structured Expert Judgment.

CM, developed at TU Delft by Roger Cooke, has been successfully applied for over 30 years in areas as diverse as climate change, disaster management, epidemiology, public and global health, ecology, aeronautics/aerospace, nuclear safety, environment and ecology, engineering and many others.

Subject:
Engineering
Mathematics
Statistics and Probability
Material Type:
Full Course
Provider:
Delft University of Technology
Provider Set:
Delft University OpenCourseWare
Author:
Dr. A.M. Hanea
Dr. ir. G.F. Nane
Prof. dr. R.M. Cooke
08/13/2020
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

This course covers the design, construction, and testing of field robotic systems, through team projects with each student responsible for a specific subsystem. Projects focus on electronics, instrumentation, and machine elements. Design for operation in uncertain conditions is a focus point, with ocean waves and marine structures as a central theme. Topics include basic statistics, linear systems, Fourier transforms, random processes, spectra, ethics in engineering practice, and extreme events with applications in design.

Subject:
Engineering
Environmental Engineering
Mathematics
Statistics and Probability
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Chin, Harrison
Hover, Franz
01/01/2010
Unrestricted Use
CC BY
Rating
0.0 stars

This course blends Introductory Statistics from OpenStax with other OER to offer a first course in statistics intended for students majoring in fields other than mathematics and engineering. This course assumes students have been exposed to intermediate algebra, and it focuses on the applications of statistical knowledge rather than the theory behind it.The foundation of the OpenStax text is Collaborative Statistics, by Barbara Illowsky and Susan Dean. The development choices for this textbook were made with the guidance of many faculty members who are deeply involved in teaching this course. These choices led to innovations in art, terminology, and practical applications, all with a goal of increasing relevance and accessibility for students. We strove to make the discipline meaningful, so that students can draw from it a working knowledge that will enrich their future studies and help them make sense of the world around them.

Subject:
Mathematics
Statistics and Probability
Material Type:
Textbook
Provider:
Achieving the Dream
Author:
Odessa College
Tim Contreras