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Applied Statistics in Healthcare Research
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CC BY-NC-ND
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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 and Medical Science
Statistics
Material Type:
Textbook
Provider:
UPEI Pressbooks Network
Author:
Alyson Mahar
Emily Read
Krista Ritchie
Teri McComber
William Montelpare
Date Added:
05/19/2021
Beginner's Guide to Graphing Data
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Educational Use
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Paul Andersen explains how graphs are used to visually display data that is collected in experimentation. He describes five main types of graphs; line graph, scatter plot, bar graph, histogram and pie chart. He describes the important elements of a successful graph including labeled axis, title, data and a line of fit.

Subject:
Statistics
Material Type:
Lesson
Provider:
Bozeman Science
Date Added:
05/29/2014
Central Limit Theorem
Conditional Remix & Share Permitted
CC BY-NC-SA
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Introduction to the central limit theorem and the sampling distribution of the mean

Subject:
Probability
Statistics
Material Type:
Lesson
Provider:
Khan Academy
Author:
Sal Khan
Date Added:
09/22/2013
Charts Are Like Pasta - Data Visualization Part 1: Crash Course Statistics #5
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The video resource "Charts Are Like Pasta - Data Visualization Part 1: Crash Course Statistics #5" is included in the "Statistics" course from the resources series of "Crash Course". Crash Course is a educational video series from John and Hank Green.

Subject:
Statistics
Material Type:
Lesson
Date Added:
05/08/2018
City Life - Inquiry and Problem Solving Exercise
Unrestricted Use
CC BY
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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:
Statistics
Material Type:
Textbook
Provider:
CUNY Academic Works
Provider Set:
LaGuardia Community College
Author:
Milena Cuellar
Date Added:
01/01/2017
Collaborative Statistics
Unrestricted Use
CC BY
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Published by OpenStax College, 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.

Subject:
Statistics
Material Type:
Textbook
Provider:
Rice University
Provider Set:
OpenStax CNX
Author:
Barbara Ilowsky
Susan Dean
Date Added:
07/09/2014
Controlled Experiments: Crash Course Statistics #9
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Educational Use
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The video resource "Controlled Experiments: Crash Course Statistics #9" is included in the "Statistics" course from the resources series of "Crash Course". Crash Course is a educational video series from John and Hank Green.

Subject:
Statistics
Material Type:
Lesson
Date Added:
05/08/2018
Correlation Doesn't Equal Causation: Crash Course Statistics #8
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Educational Use
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The video resource "Correlation Doesn’t Equal Causation: Crash Course Statistics #8" is included in the "Statistics" course from the resources series of "Crash Course". Crash Course is a educational video series from John and Hank Green.

Subject:
Statistics
Material Type:
Lesson
Date Added:
05/08/2018
Correlation and Causality
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CC BY-NC-SA
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Understanding why correlation does not imply causality (even though many in the press and some researchers often imply otherwise)

Subject:
Probability
Statistics
Material Type:
Lesson
Provider:
Khan Academy
Author:
Sal Khan
Date Added:
09/22/2013
Crash Course Statistics Preview
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Educational Use
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The video resource "Crash Course Statistics Preview" is included in the "Statistics" course from the resources series of "Crash Course". Crash Course is a educational video series from John and Hank Green.

Subject:
Statistics
Material Type:
Lesson
Date Added:
05/08/2018
Decision Making Under Uncertainty: Introduction to Structured Expert Judgment
Conditional Remix & Share Permitted
CC BY-NC-SA
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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
Statistics
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
Date Added:
01/12/2021
Elementary Statistical Methods
Unrestricted Use
CC BY
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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:
Statistics
Material Type:
Textbook
Provider:
Achieving the Dream
Author:
Odessa College
Tim Contreras
Date Added:
05/20/2021
Graphing Data by Hand
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Educational Use
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Paul Andersen shows you how to graph data by hand. He explains the required elements of a scatter plot with a best fit line. He shows you how to properly scale and label the axes.

Subject:
Statistics
Material Type:
Lesson
Provider:
Bozeman Science
Date Added:
05/29/2014
Henrietta Lacks, the Tuskegee Experiment, & Ethical Data Collection: Crash Course Statistics #12
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Educational Use
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The video resource "Henrietta Lacks, the Tuskegee Experiment, & Ethical Data Collection: Crash Course Statistics #12" is included in the "Statistics" course from the resources series of "Crash Course". Crash Course is a educational video series from John and Hank Green.

Subject:
Statistics
Material Type:
Lesson
Date Added:
05/08/2018
Intersection and union of sets
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CC BY-NC-SA
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This video is from the Khan Academy subject of Math on the topic of Probability and statistics and it covers Intersection and union of sets.

Subject:
Probability
Statistics
Material Type:
Lesson
Provider:
Khan Academy
Author:
Sal Khan
Date Added:
09/22/2013
Introduction to Statistics (MATH 146)
Unrestricted Use
CC BY
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The main goal of the course is to highlight the general assumptions and methods that underlie all statistical analysis. The purpose is to get a good understanding of the scope, and the limitations of these methods. We also want to learn as much as possible about the assumptions behind the most common methods, in order to evaluate if they apply with reasonable accuracy to a given situation. Our goal is not so much learning bread and butter techniques: these are pre-programmed in widely available and used software, so much so that a mechanical acquisition of these techniques could be quickly done "on the job". What is more challenging is the evaluation of what the results of a statistical procedure really mean, how reliable they are in given circumstances, and what their limitations are.Login: guest_oclPassword: ocl

Subject:
Statistics
Material Type:
Full Course
Homework/Assignment
Lecture Notes
Lesson Plan
Syllabus
Provider:
Washington State Board for Community & Technical Colleges
Provider Set:
Open Course Library
Date Added:
10/31/2011