In this activity, students replicate the slope failure experiment presented by Densmore …
In this activity, students replicate the slope failure experiment presented by Densmore et al. (1997) in the journal Science. They are given the original article and the slope failure apparatus (along with all associated materials) and then they need to figure out how to replicate the experiment. Once they have completed an experimental run of sufficient length, they compile and analyze their data and compare it to the article's results.
After completing this portion of the lab, the students read the discussion and reply (Aalto et al., 1998; Densmore et al., 1998) and critically evaluate they results of the experiment and its applicability to the real world and landscape evolution.
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This activity uses simulation to help students understand sampling variability and reason …
This activity uses simulation to help students understand sampling variability and reason about whether a particular samples result is unusual, given a particular hypothesis. By using first candies, then a web applet, and varying sample size, students learn that larger samples give more stable and better estimates of a population parameter and develop an appreciation for factors affecting sampling variability.
This applet from Statistical Java allows the user to generate bivariate data …
This applet from Statistical Java allows the user to generate bivariate data for analysis with simple linear regression. The page describes the equations used to generate the data and estimate the regression lines.
Today we're going to introduce one of the most flexible statistical tools …
Today we're going to introduce one of the most flexible statistical tools - the General Linear Model (or GLM). GLMs allow us to create many different models to help describe the world - you see them a lot in science, economics, and politics. Today we're going to build a hypothetical model to look at the relationship between likes and comments on a trending YouTube video using the Regression Model. We'll be introducing other popular models over the next few episodes.
Introductory Statistics is a non-calculus based, descriptive statistics course with applications. …
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.
Introductory Statistics is a non-calculus based, descriptive statistics course with applications. …
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.
This Remote Learning Plan was created by Crystal Ernst in collaboration with Nick …
This Remote Learning Plan was created by Crystal Ernst in collaboration with Nick Ziegler as part of the 2019-20 ESU-NDE Digital Age Pedagogy Project. Educators worked with coaches to create Remote Learning Plans as a result of the COVID-19 pandemic. The attached Series of Remote Learning Plans is designed for a grade 6-9 math student studying probability. Students will: identify and find the probability of dependent and independent events.
Over several days, students learn about composites, including carbon-fiber-reinforced polymers, and their …
Over several days, students learn about composites, including carbon-fiber-reinforced polymers, and their applications in modern life. This prepares students to be able to put data from an associated statistical analysis activity into context as they conduct meticulous statistical analyses to evaluate/determine the effectiveness of carbon fiber patches to repair steel. This lesson and its associated activity are suitable for use during the last six weeks of an AP Statistics course; see the topics and timing note for details. A PowerPoint® presentation and post-quiz are provided.
Replication (re-running studies to confirm results) and reproducibility (the ability to repeat …
Replication (re-running studies to confirm results) and reproducibility (the ability to repeat an analyses on data) have come under fire over the past few years. The foundation of science itself is built upon statistical analysis and yet there has been more and more evidence that suggests possibly even the majority of studies cannot be replicated. This "replication crisis" is likely being caused by a number of factors which we'll discuss as well as some of the proposed solutions to ensure that the results we're drawing from scientific studies are reliable.
This lesson unit is intended to help teachers assess how well students: …
This lesson unit is intended to help teachers assess how well students: are able to use frequency graphs to identify a range of measures and make sense of this data in a real-world context; and understand that a large number of data points allow a frequency graph to be approximated by a continuous distribution.
This lesson unit is intended to help teachers assess how well students …
This lesson unit is intended to help teachers assess how well students are able to interpret data using frequency graphs and box plots. In particular this unit aims to identify and help students who have difficulty figuring out the data points and spread of data from frequency graphs and box plots. It is advisable to use the lesson: Representing Data 1: Frequency Graphs, before this one.
3rd Canadian Edition Short Description: A comprehensive textbook for research methods classes. …
3rd Canadian Edition
Short Description: A comprehensive textbook for research methods classes. A peer-reviewed inter-institutional project.
Long Description: This adaptation constitutes the third Canadian edition of this textbook, and builds upon the fourth American edition by Rajiv S. Jhangiani (Kwantlen Polytechnic University), I-Chant A. Chiang (Quest University Canada), Carrie Cutler (Washington State University, and Dana C. Leighton (Texas A&M University-Texarkana, second Canadian edition by Rajiv S. Jhangiani (Kwantlen Polytechnic University) and I-Chant A. Chiang (Quest University Canada), the second American edition by Dana C. Leighton (Texas A&M University-Texarkana), and the third American edition by Carrie Cuttler (Washington State University) and feedback from several peer reviewers coordinated by the Rebus Community. This edition is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Word Count: 128358
(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)
4th edition Short Description: A comprehensive textbook for research methods classes. A …
4th edition
Short Description: A comprehensive textbook for research methods classes. A peer-reviewed inter-institutional project.
Long Description: This adaptation constitutes the fourth edition of this textbook, and builds upon the second Canadian edition by Rajiv S. Jhangiani (Kwantlen Polytechnic University) and I-Chant A. Chiang (Quest University Canada), the second American edition by Dana C. Leighton (Texas A&M University-Texarkana), and the third American edition by Carrie Cuttler (Washington State University) and feedback from several peer reviewers coordinated by the Rebus Community. This edition is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Word Count: 127360
ISBN: 978-1-9991981-0-7
(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)
3rd Canadian Edition Short Description: A comprehensive textbook for research methods classes. …
3rd Canadian Edition
Short Description: A comprehensive textbook for research methods classes. A peer-reviewed inter-institutional project.
Long Description: This adaptation constitutes the third Canadian edition of this textbook, and builds upon the fourth American edition by Rajiv S. Jhangiani (Kwantlen Polytechnic University), I-Chant A. Chiang (Quest University Canada), Carrie Cutler (Washington State University, and Dana C. Leighton (Texas A&M University-Texarkana, second Canadian edition by Rajiv S. Jhangiani (Kwantlen Polytechnic University) and I-Chant A. Chiang (Quest University Canada), the second American edition by Dana C. Leighton (Texas A&M University-Texarkana), and the third American edition by Carrie Cuttler (Washington State University) and feedback from several peer reviewers coordinated by the Rebus Community. This edition is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Word Count: 128357
(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)
4th edition Short Description: A comprehensive textbook for research methods classes. A …
4th edition
Short Description: A comprehensive textbook for research methods classes. A peer-reviewed inter-institutional project.
Long Description: This adaptation constitutes the fourth edition of this textbook, and builds upon the second Canadian edition by Rajiv S. Jhangiani (Kwantlen Polytechnic University) and I-Chant A. Chiang (Quest University Canada), the second American edition by Dana C. Leighton (Texas A&M University-Texarkana), and the third American edition by Carrie Cuttler (Washington State University) and feedback from several peer reviewers coordinated by the Rebus Community. This edition is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 International License.
Word Count: 131367
ISBN: 978-1-9991981-0-7
(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)
This is a short exploration activity to introduce SIR and SEIR models …
This is a short exploration activity to introduce SIR and SEIR models without explicitly introducing differential equations. It utilizes the R package EpiDynamics and students can run the simulations themselves to observe flattening the curve.
Estimated time will vary. Please contact QUBESHub staff through the help ticket feature if you expect a large number of students to access the cloud-based tools at once.
Figure caption and headers are utilized to make this activity screen reader accessible, though RStudio itself is not yet screen reader accessible.
This is a task from the Illustrative Mathematics website that is one …
This is a task from the Illustrative Mathematics website that is one part of a complete illustration of the standard to which it is aligned. Each task has at least one solution and some commentary that addresses important aspects of the task and its potential use.
This is the website for “R for Data Science”. This book will …
This is the website for “R for Data Science”. This book will teach you how to do data science with R: You’ll learn how to get your data into R, get it into the most useful structure, transform it, visualise it and model it. In this book, you will find a practicum of skills for data science. Just as a chemist learns how to clean test tubes and stock a lab, you’ll learn how to clean data and draw plots—and many other things besides. These are the skills that allow data science to happen, and here you will find the best practices for doing each of these things with R. You’ll learn how to use the grammar of graphics, literate programming, and reproducible research to save time. You’ll also learn how to manage cognitive resources to facilitate discoveries when wrangling, visualising, and exploring data.
Students are presented with a real-life problem of flooding and erosion in …
Students are presented with a real-life problem of flooding and erosion in the town of Simonton. They must use historical dischage data to determine the future risk of flooding. They must also use historical map data to asses the risk of future losses due to erosion. Using these data, they must dertermine the feasibility of levee systems proposed by the Corp of Engineers. Lastly, they must discuss their assumption and possible sources of error.
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