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Showing 1 to 15 of 36 results Save | Export
Ratcliffe, Michael R. – Geography Teacher, 2019
"Place" is a central concept in geography. Geographers focus considerable attention on describing and understanding the nature of places and variations from one place to another. The collection of data and the measurement and analysis of the characteristics of a place requires that its boundaries are defined. How and where we draw…
Descriptors: Geographic Regions, Statistical Data, Geography Instruction, Experiential Learning
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Duncan, Bruce; Fitzallen, Noleine – Australian Mathematics Teacher, 2013
The learning sequence described in this article was developed to provide students with a demonstration of the development of box plots from authentic data as an illustration of the advantages gained from using multiple forms of data representation. The sequence follows an authentic process that starts with a problem to which data representations…
Descriptors: Data Analysis, Data, Teaching Methods, Comparative Analysis
Kenreich, Todd W. – Geography Teacher, 2016
With the 2016 presidential election right around the corner, geography provides a dynamic view of the spatial patterns and processes that shape the electorate. The major presidential campaigns know that a winning strategy must use geography to make informed decisions about where to allocate limited resources such as money and staff. In the end,…
Descriptors: Geography Instruction, Political Campaigns, Elections, Resource Allocation
Zaritsky, Joyce; Toce, Andi – Online Submission, 2013
This manual consists of an introduction to our Academic Peer Instruction (API) program at LaGuardia Community College, a compilation of the materials we have developed and use for training of our tutors (with answers), and a bibliography. API is based on an internationally recognized peer tutoring program, Supplemental Instruction. (Contains 6…
Descriptors: Supplementary Education, Tutoring, Peer Teaching, Guides
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Bryan, Elizabeth H. – Mathematics Teacher, 1988
This set of activity sheets requires students to organize and display data with a box-and-whiskers graph. Students use the plot as a summary display to detect patterns and to highlight the important features of the data for purposes of comparison. (PK)
Descriptors: Class Activities, Comparative Analysis, Data, Data Analysis
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Barbella, Peter – Mathematics Teacher, 1987
Presented are two examples including data sets for which calculating various elementary statistics will reveal something new about the data. The objective of these examples is to show the student what various statistics may reveal, or not reveal, about a given data set. (PK)
Descriptors: Data, Data Analysis, Mathematical Applications, Mathematics Education
Comer, John – Teaching Political Science, 1979
Describes some procedures designed to assist instructors in developing a research component using the computer. Benefits include development of research skills, kindling student interest in the field of political science, and recruitment potential. (Author/CK)
Descriptors: Computers, Data Analysis, Data Processing, Higher Education
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Thompson, W. Burt – Teaching of Psychology, 1994
Describes the use of a student-designed questionnaire to generate data for teaching statistical procedures and concepts. Maintains that students learn firsthand that data analysis is an integral part of the research process. Concludes that students find real data more interesting. (CFR)
Descriptors: Course Content, Course Descriptions, Data Analysis, Data Collection
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Burn, Christopher R.; Fox, Michael F. – Journal of Geography, 1986
Exploratory data analysis (EDA) gives students a feel for the data being considered. Four applications of EDA are discussed: the use of displays, resistant statistics, transformations, and smoothing. (RM)
Descriptors: Data Interpretation, Geography Instruction, Higher Education, Learning Activities
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Klebanoff, Aaron – Primus, 1997
Describes a project involving a short car trip in which students experience an early opportunity to work in teams, think about mathematics, gather and analyze speed and distance data, and produce a report on their findings. Provides a typical-authored solution. (Author/ASK)
Descriptors: Calculus, Data Collection, Higher Education, Mathematical Concepts
Gibson, Duncan, Ed. – World Eagle, 1990
Ten issues of a monthly social studies resource, each with a different topical focus, are included in this document. The issues focus on: the American family; the environment; the developing world; U.S. and world population; U.S. and world energy; the arms race; employment and housing; world product and trade; social programs in the federal…
Descriptors: Graphs, Human Geography, Instructional Materials, Maps
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Skinner, Ewart; Bracken, James K. – Research Strategies, 1988
Describes the use of several familiar reference resources by students in a graduate-level course on comparative international telecommunications at Purdue University to obtain recent statistics on international telecommunications systems. (14 references) (MES)
Descriptors: Foreign Countries, Higher Education, Reference Materials, Statistical Data
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Ruxton, Graeme D. – Chance, 1996
Addresses the drudgery of entering long datasets at the keyboard before being able to begin each chapter of a book. Suggests that the publishers of statistics books make the datasets available for people to download onto their computers over the World Wide Web. (AIM)
Descriptors: Computer System Design, Computer Uses in Education, Database Design, Higher Education
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Plummer, Robert; And Others – Mathematics Teacher, 1993
Uses a graphing calculator to predict the record for running a mile, throwing a shot put, and high jumping for any year in the future and the probable record for any year before statistics were kept, based on the statistical analysis of prior records. Data tables and a computer program are provided. (MDH)
Descriptors: Athletics, Data Analysis, Educational Technology, Graphing Calculators
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Salzsieder, John C. – Journal of Chemical Education, 1995
Describes a laboratory experiment dissolving zinc from galvanized nails in which data can be gathered very quickly for statistical analysis. The data have sufficient significant figures and the experiment yields a nice distribution of random errors. Freshman students can gain an appreciation of the relationships between random error, number of…
Descriptors: Chemistry, College Freshmen, Higher Education, Laboratory Experiments
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