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American Association of Community Colleges, 2018
According to "The Future of Undergraduate Education" report, about 17 million students are enrolled in 4,700 college and university programs every fall. Forty-nine percent of all credentials earned are bachelor's degrees, 26 percent are associate degrees and another 25 percent are certificates. In the U.S., students can tap several…
Descriptors: Undergraduate Study, College Graduates, Debt (Financial), Educational Indicators
Khachatryan, Davit; Karst, Nathaniel – Journal of Statistics Education, 2017
With the ease and automation of data collection and plummeting storage costs, organizations are faced with massive amounts of data that present two pressing challenges: technical analysis of the data themselves and communication of the analytics process and its products. Although a plethora of academic and practitioner literature have focused on…
Descriptors: Communication Skills, Statistics, Business Schools, College Students
Espelage, Dorothy – AERA Open, 2015
School violence and bullying are two public health concerns with consequences for youth in and out of school, for families, students, and community members. In this article, a social-ecological framework is briefly described as a way to understand bullying and school violence; then the National Center for Educational Statistics (NCES) longitudinal…
Descriptors: Violence, Bullying, Educational Research, Statistical Data
Feldman, Bernard J. – Physics Teacher, 2014
Given that transportation is an essential topic in any Physics and Society or Energy course, it is necessary to have useful statistics on transportation in order to have a reasoned discussion on this topic. And a major component of the transportation picture is the automobile. This paper presents updated transportation statistics for American…
Descriptors: Statistics, Auto Mechanics, Motor Vehicles, Transportation
Wilson-Doenges, Georjeanna – New Directions for Teaching and Learning, 2013
This chapter will provide potential models for analyzing learning data through a discussion of screening data and then analyzing that data using appropriate statistical techniques.
Descriptors: Models, Statistical Analysis, Statistical Data, Academic Achievement
Stander, Julian; Dalla Valle, Luciana – Journal of Statistics Education, 2017
We discuss the learning goals, content, and delivery of a University of Plymouth intensive module delivered over four weeks entitled MATH1608PP Understanding Big Data from Social Networks, aimed at introducing students to a broad range of techniques used in modern Data Science. This module made use of R, accessed through RStudio, and some popular…
Descriptors: Foreign Countries, College Students, College Mathematics, Statistics
Ingels, Steven J.; Pratt, Daniel J.; Herget, Deborah R.; Dever, Jill A.; Fritch, Laura Burns; Ottem, Randolph; Rogers, James E.; Kitmitto, Sami; Leinwand, Steve – National Center for Education Statistics, 2013
This manual has been produced to familiarize data users with the design, and the procedures followed for data collection and processing, in the base year and first follow-up of the High School Longitudinal Study of 2009 (HSLS:09), with emphasis on the first follow-up. It also provides the necessary documentation for use of the public-use data…
Descriptors: High School Students, Longitudinal Studies, Annual Reports, Followup Studies
Ingels, Steven J.; Pratt, Daniel J.; Herget, Deborah R.; Dever, Jill A.; Fritch, Laura Burns; Ottem, Randolph; Rogers, James E.; Kitmitto, Sami; Leinwand, Steve – National Center for Education Statistics, 2013
The manual that accompanies these appendices was produced to familiarize data users with the design, and the procedures followed for data collection and processing, in the base year and first follow-up of the High School Longitudinal Study of 2009 (HSLS:09), with emphasis on the first follow-up. It also provides the necessary documentation for use…
Descriptors: High School Students, Longitudinal Studies, Annual Reports, Followup Studies
Mellody, Maureen – National Academies Press, 2014
As the availability of high-throughput data-collection technologies, such as information-sensing mobile devices, remote sensing, internet log records, and wireless sensor networks has grown, science, engineering, and business have rapidly transitioned from striving to develop information from scant data to a situation in which the challenge is now…
Descriptors: Workshops, Training, Competence, Data Collection
Frederick D. Patterson Research Institute, UNCF, 2014
Historically Black Colleges and Universities (HBCUs) and Hispanic-Serving Institutions (HSIs) represent a small percentage of all institutions in the U.S. but educate a large portion of all black and Latino students, many of whom are low-income and first-generation college attendees. Given the population growth of these students overall, both HSIs…
Descriptors: Black Colleges, African American Students, Hispanic American Students, College Students
Humphrey, Patricia – Teaching Statistics: An International Journal for Teachers, 2012
An in-class activity is described that can be used not only to motivate hypothesis testing, but also to understand and compute the p-value and power in a statistical test. (Contains 3 figures.)
Descriptors: Hypothesis Testing, Class Activities, Science Course Improvement Projects, Statistical Studies
Richards, Kate; Davies, Neville – Teaching Statistics: An International Journal for Teachers, 2012
This article tackles the problem of what should be done with real textual data that are contaminated by errors of recording, particularly when the data contain words that are misspelt, unintentionally or otherwise. (Contains 5 tables and 2 figures.)
Descriptors: Error Analysis (Language), Error of Measurement, Research Problems, Statistics
Calmettes, Guillaume; Drummond, Gordon B.; Vowler, Sarah L. – Advances in Physiology Education, 2012
A jack knife is a pocket knife that is put to many tasks, because it's ready to hand. Often there could be a better tool for the job, such as a screwdriver, a scraper, or a can-opener, but these are not usually pocket items. In statistical terms, the expression implies making do with what's available. Another simile, of an extreme situation, is…
Descriptors: Statistical Analysis, Computation, Population Distribution, Evaluation Methods
Sheffield, Caroline C.; Karp, Karen S.; Brown, E. Todd – Social Studies and the Young Learner, 2010
The world is filled with information delivered through graphical representations--everything from voting trends to economic projections to health statistics. Whether comparing incomes of individuals by their level of education, tracking the rise and fall of state populations, or researching home ownership in different geographical areas, basic…
Descriptors: Ownership, Teacher Role, Graphs, Children
McCoach, D. Betsy – Gifted Child Quarterly, 2010
In education, most naturally occurring data are clustered within contexts. Students are clustered within classrooms, classrooms are clustered within schools, and schools are clustered within districts. When people are clustered within naturally occurring organizational units such as schools, classrooms, or districts, the responses of people from…
Descriptors: Regression (Statistics), Causal Models, Academically Gifted, Educational Research