This laboratory activity takes place in a computer lab that is equipped with ArcGIS (we are currently using ArcGIS 9.3). Students will go to NASA's oil spill gallery website and download the full size image of the Deepwater Horizon oil slick from July 14th, 2010 taken by the Moderate Resolution Imaging Spectroradiometer (MODIS) on NASA's Aqua satellite at 1:55 p.m. Central Daylight Time. Their task is to to analyze the satellite imagery as an RGB composite and to experiment with reclassification techniques to subdivide the continuous raster dataset into user-defined numbers of ranges that will help visualize the oil spill. The activity introduces students to GIS software, remote sensing analysis, and sets up questions on spatial patterns and consequences of energy use.

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Worksheet with basic information about box plots, a solved example, a problem to solve, and the answer key.

This book is designed as a short and introductory resource specifically aimed to help students grasp key concepts typically found in undergraduate psychology statistics subjects. It was initially developed for online and intensive programs, which are becoming increasingly popular in psychology education. The book utilises jamovi, a free and open-source statistical software. This peer reviewed book is completely free to download, use, and adapt and it is released using the CC BY-NC 4.0 licence.

Contemporary Mathematics is designed to meet the scope and sequence requirements for a liberal arts mathematics course. This resource provides stand-alone sections with a focus on showing relevance in the features as well as the examples, exercises, and exposition. Contemporary Mathematics integrates technology applications, projects, and highlights a diverse group of contributors to mathematics, statistics, and related fields.

A quantitative skills-intensive exercise using data from the Mineral Mountains, Utah, to calculate mass balance and to address the "space problem" involved with emplacing plutons into the crust.

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Students use gesture to describe the bulk deformation and local deformation apparent in images of a contractional analog experiment. Students then calculate bulk shortening and bulk thickening for the experiment and describe the structures accommodating that strain.

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The applets in this section allow you to see how the common Xbar control chart is constructed with known variance. The Xbar chart is constructed by collecting a sample of size n at different times t.

We may be living IN a simulation (according to Elon Musk and many others), but that doesn't mean we don't need to perform simulations ourselves. Today, we're going to talk about good experimental design and how we can create controlled experiments to minimize bias when collecting data. We'll also talk about single and double blind studies, randomized block design, and how placebos work.

During this demo, participants use springs and a map of the Pacific Northwest with GPS vectors to investigate the stresses and surface expression of subduction zones, specifically the Juan de Fuca plate diving beneath the North American plate.

(Note: this resource was added to OER Commons as part of a batch upload of over 2,200 records. If you notice an issue with the quality of the metadata, please let us know by using the 'report' button and we will flag it for consideration.)

A Cool, Brisk Walk Through Discrete Mathematics, an innovative and non-traditional approach to learning Discrete Math, is available for low cost from Blurb or via free download.

The applets in this section allow you to see how different bivariate data look under different correlation structures. The Movie applet either creates data for a particular correlation or animates a multitude data sets ranging correlations from -1 to 1.

Today we’re going to talk about data relationships and what we can learn from them. We’ll focus on correlation, which is a measure of how two variables move together, and we’ll also introduce some useful statistical terms you’ve probably heard of like regression coefficient, correlation coefficient (r), and r^2. But first, we’ll need to introduce a useful way to represent bivariate continuous data - the scatter plot. The scatter plot has been called “the most useful invention in the history of statistical graphics” but that doesn’t necessarily mean it can tell us everything. Just because two data sets move together doesn’t necessarily mean one CAUSES the other. This gives us one of the most important tenets of statistics: correlation does not imply causation.

Understanding why correlation does not imply causality (even though many in the press and some researchers often imply otherwise).

An introduction and examples of how to use Correlation and Simple Linear Regression. Explaining concepts as coefficient of correlation, dependent variables, independent variables and the straight line equation and residuals.

This activity has students investigate their own cost, CO2 output, and time for commuting. They then compare their commute to an environmentally conscious alternative by using comparable metrics.

(Note: this resource was added to OER Commons as part of a batch upload of over 2,200 records. If you notice an issue with the quality of the metadata, please let us know by using the 'report' button and we will flag it for consideration.)

Course map for a 10-week class focusing on differential calculus (without trigonometry) for business and social sciences, with learning objectives, assignments, formative feedback, learning activities, and readings from the OER textbook "Calculus for Business & Social Sciences" by Angela J. Allen and Patrick J. Orchard at Texas A&M University.

Why study Quantitative Literacy?

Most students sign up for this course to fulfill a general education mathematics requirement. And this text is certainly aimed at that general audience. But by the time the course is completed, the authors hope that you will have developed some appreciation for the usefulness and elegance of the subject. Without doubt, some level of competency and comfort in working with numerical data is needed to navigate the modern world; and we have tried to cover topics that can be used in day to day life.

In this book, we will focus on problem solving and critical thinking skills. Our goal is not to prepare you just for the next math class, but to equip you with the necessary tools so that you can apply basic mathematical reasoning to a wide variety of commonly encountered problems. Along the way, we will learn basic logic, how to work with percentages and units, the basics of consumer finance, and how to use and interpret basic statistical data.