Syllabus for Introduction to Economic and Managerial Statistics at the College of Staten Island
The DMT Clearinghouse is a registry for online learning resources about research data management. Initial seed funding was provided by the U.S. Geological Survey's Community for Data Integration. Subsequent funding has been granted by an Institute of Museum and Library Services National Leadership Grant (LG-70-18-0092-18). Developed in collaboration with the Earth Sciences Information Partnership (ESIP) Federation, and DataONE, with subsequent support from the University of New Mexico Libraries Research Data Services, the DMT Clearinghouse is available for searching, browsing, and submitting information about learning resources on data management topics. DMT Clearinghouse FeaturesThe Search Interface allows users to find learning resources by entering terms, names of people and organizations, dates, and keywords. The Browse Interface allows users to view the entire list of learning resources, and to filter by educational framework. An educational framework is a plan or set of steps that defines or collects the content using clear, definable standards about what the student should know and understand. For purposes of the DMT Clearinghouse, a given learning resource may be associated with a community-defined standard for data management, for example:USGS Science Support FrameworkDataONE Data Life CycleESIP Data Management Short Course for Scientists The Digital Preservation NetworkInternational Council for Science (ICSU) World Data System (WDS) Training Resource GuideFAIR Data Principles The Submission Form allows users to enter information about learning resources that they would like to see included in the DMT Clearinghouse. A user log in is not required to submit a resource with key, required information. To add more information about a learning resource than just that required, please log in or create an account (click "Log In at the upper right side of the screen.) NOTE: Submissions will be published to the DMT Clearinghouse following an editorial review to ensure the resource meets quality and selection criteria for inclusion.. You may be contacted for more information about your submission, if needed. Your contact information will not be made available publicly without your permission. For questions or feedback, please contact clearinghouseEd@esipfed.org.
Spreadsheets Across the Curriculum module. Students build spreadsheets to tabulate and graph seismic wave amplitude and energy release to explore the logarithmic scale of earthquake magnitude.
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This student homework and problem set has students quantitatively earthquake hazard, shaking and damage.
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In this module, students are asked to devise a way of graphically plotting the density variations with depth in the Earth.
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This module explores the combination of densities and shell thicknesses that produce an aggregate density of the Earth of 5.5 g/cm3.
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Word Count: 13065
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This workshop with Mario Trejo will cover how to use Inkscape tools to edit titles, legends, axes and highlight areas of a plot. This workshop is designed for individuals who frequently develop data visualizations using statistical software, but do not necessarily have the coding background to make extensive edits. The workshop will focus on editing output graphics from R and SAS statistical software.
Students will develop, justify, and evaluate conjectures about the relationship between two quantitative variables over time in the United States: the median age (in years) when women first marry and the percentage of women aged 25–34 with a bachelor’s degree or higher. Students will write a regression equation for the data, interpret in context the linear model’s slope and y-intercept, and find the correlation coefficient (r), assessing the strength of the linear relationship and whether a significant relationship exists between the variables. Students will then summarize their conclusions and consider whether correlation implies causation.
In this activity, students perform the Kaplan-Meier survival analysis on raw data obtained from an experiment that explores the effect of overexpressing the Snakeskin (Ssk) protein on the lifespan of a population of fruit flies. This tight junction equivalent protein is expressed at higher levels than normal specifically in the gut and throughout the entire lifespan of the flies. Because aging guts are accompanied by both a mislocalization and a decrease in the expression levels of junctional proteins, including Ssk, it was hypothesized that overexpressing Ssk may lead to a healthier fly with a longer lifespan. This data will be analyzed in order to determine if there is a significant difference between the control flies in which no overexpression occurs and the experimental group in which Ssk is overexpressed.
This task introduces the fundamental statistical ideas of using data summaries (statistics) from random samples to draw inferences (reasoned conclusions) about population characteristics (parameters). In the task built around an election poll scenario, the population is the entire seventh grade class, the unknown characteristic (parameter) of interest is the proportion of the class members voting for a specific candidate, and the sample summary (statistic) is the observed proportion of voters favoring the candidate in a random sample of class members.
This task introduces the fundamental statistical ideas of using data summaries (statistics) from random samples to draw inferences (reasoned conclusions) about population characteristics (parameters). In the task built around an election poll scenario, the population is the entire seventh grade class, the unknown characteristic (parameter) of interest is the proportion of the class members voting for a specific candidate, and the sample summary (statistic) is the observed proportion of voters favoring the candidate in a random sample of class members.
This task introduces the fundamental statistical ideas of using data summaries (statistics) from random samples to draw inferences (reasoned conclusions) about population characteristics (parameters). In the task built around an election poll scenario, the population is the entire seventh grade class, the unknown characteristic (parameter) of interest is the proportion of the class members voting for a specific candidate, and the sample summary (statistic) is the observed proportion of voters favoring the candidate in a random sample of class members.
n addition to providing a task that relates to other disciplines (history, civics, current events, etc.), this task is intended to demonstrate that a graph can summarize a distribution as well as provide useful information about specific observations.
Short Description:
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.
Word Count: 90414
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This open course for Elementary Statistics was created through a Round Ten Textbook Transformation Grant:
https://oer.galileo.usg.edu/mathematics-collections/39/
The open course contains ancillary materials for OpenStax Introductory Statistics:
https://openstax.org/details/books/introductory-statistics
Included in the course are introductions to each lesson, lecture slides, videos, and problem questions. Topics include:
Types of Data
Sampling Techniques
Qualitative Data
Frequency Distributions
Descriptive Statistics
Variation and Position
Confidence Intervals
Hypothesis Testing
Chi-Square Goodness of Fit
Linear Regression
Variance ANOVA
Students explore a Global Energy Balance Climate Model Using Stella II. Response of surface temperature to variations in solar input, atmospheric and surface albedo, atmospheric water vapor and carbon dioxide, volcanic eruptions, and mixed layer ocean depth. Climate feedbacks such as water vapor or ice-albedo can be turned on or off.
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I use an "engaging question" on the first day of class in all of my courses. This activity is designed to be both engaging and central to all of the course content. That is, the activity is designed around questions that we can keep coming back to, over and over, after each learning unit. This approach not only provides a unifying focus for the course, but it also provides an opportunity to model critical thinking as we revisit the question each time with a different perspective. For the Dynamic Earth and Global Change (the Physical Geology course at Macalester) I chose a question about climate change. The activity starts with two graphs (plots of surface temperature and atmosphere CO2 composition for the past 1,000 years). Students are asked to describe the graphs, interpret the graphs, make some predictions, and explain the graphs using basic earth science processes.
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Earthquakes in western Washington and Oregon are to be expected -- the region lies in the Cascadia Subduction Zone. Offshore, the Juan de Fuca tectonic plate subducts under the North American plate, from northern California to British Columbia. The region, however, also experiences exotic seismicity -- Episodic Tremor and Slip (ETS).In this lesson, your students study seismic and GPS data from the region to recognize a pattern in which unusual tremors--with no surface earthquakes--coincide with jumps of GPS stations. This is ETS. Students model ductile and brittle behavior of the crust with lasagna noodles to understand how properties of materials depend on physical conditions. Finally, they assemble their knowledge of the data and models into an understanding of ETS in subduction zones and its relevance to the millions of residents in Cascadia.
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On July 4th, 1997, Mars Pathfinder landed at the mouth of Ares Vallis, a large channel that drains into the Chryse Planitia basin. While there remains a great deal to debate about the origin of the channels, one of the leading hypotheses at present is the idea that these features are the result of catastrophic flooding. If this is correct, then the plains where Pathfinder landed may be rich in debris eroded out of the Martian highlands across which the Ares Vallis channel passes, providing a golden combination -- a relatively safe landing site which still provides access to a wide variety of different rock types. [If you would like to learn more about the many Pathfinder results, explore the April, 1999 and January, 2000 issues of the journal Journal of Geophysical Research -- Planets (the green one) in the library.]
For the sake of this lab assignment you will hypothesize that the Ares Vallis and associated deposits were indeed produced by catastrophic flooding, and will use the information at your disposal to learn all you can about the putative flooding event.
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