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Strasser, Nora – Journal of College Teaching & Learning, 2007
Avoiding statistical mistakes is important for educators at all levels. Basic concepts will help you to avoid making mistakes using statistics and to look at data with a critical eye. Statistical data is used at educational institutions for many purposes. It can be used to support budget requests, changes in educational philosophy, changes to…
Descriptors: Statistics, Statistical Data, Validity, Data Interpretation
Rosenthal, James A. – Springer, 2011
Written by a social worker for social work students, this is a nuts and bolts guide to statistics that presents complex calculations and concepts in clear, easy-to-understand language. It includes numerous examples, data sets, and issues that students will encounter in social work practice. The first section introduces basic concepts and terms to…
Descriptors: Statistics, Data Interpretation, Social Work, Social Science Research
Deal, Mary M.; Deal, Walter F., III – Technology Teacher, 2007
Mathematics and statistics play important roles in peoples' lives today. A day hardly passes that they are not bombarded with many different kinds of statistics. As consumers they see statistical information as they surf the web, watch television, listen to their satellite radios, or even read the nutrition facts panel on a cereal box in the…
Descriptors: Statistical Data, Statistics, Numeracy, Data Interpretation
US Department of Commerce, 2008
This handbook was developed for high school teachers looking for new sources of timely information and ways to make courses more engaging and relevant to students. The American Community Survey (ACS) provides a wide online array of social, economic, and demographic information about the nation, states, and local communities. These data can be…
Descriptors: Community Surveys, Secondary School Teachers, Social Studies, Statistical Data
Peer reviewedKader, Gary D. – Mathematics Teaching in the Middle School, 1999
Introduces an activity designed to develop statistical concepts such as the distribution for a set of data, various interpretations of the mean for a set of data, the limitation of the mean for distinguishing distributions, variation in data, variation in data from the mean, and the MAD as a measure of variation in data from the mean. (ASK)
Descriptors: Data Interpretation, Grade 8, Mathematics Activities, Mathematics Instruction
Peer reviewedWatson, Jane M.; Moritz, Jonathan B. – Educational Studies in Mathematics, 1999
Explores the development of elementary school students' (n=88) understanding of comparing two datasets through the responses of students in individual interview settings. Strategies observed within the developmental cycles were visual, numerical, or a combination of the two. Contains 26 references. (Author/ASK)
Descriptors: Data Interpretation, Elementary Secondary Education, Mathematics Education, Spatial Ability
Peer reviewedStrutchens, Marilyn E. – Mathematics Teaching in the Middle School, 1999
Presents an activity using national achievement data to involve students in a project on data collection and statistics while learning about their attitudes toward and beliefs about mathematics. This activity presents a good opportunity to talk about various interpretations of data and allows students to examine and discuss their attitudes about…
Descriptors: Data Interpretation, Data Processing, Mathematics Activities, Mathematics Instruction
Peer reviewedJohnson, Art – Mathematics Teaching in the Middle School, 1999
Presents different real-world mathematics activities on data display and data analysis with pie charts from different time periods. (ASK)
Descriptors: Charts, Data Analysis, Data Interpretation, Graphs
Bracey, Gerald W. – Education Digest: Essential Readings Condensed for Quick Review, 2006
It is curious that so many people are accepting of statistics despite Disraeli's famous aphorism concerning "three kinds of lies." This acceptance certainly seems to hold for education statistics, especially when they imply something negative about American public schools. Sometimes people accept statistics because they are not in a position to…
Descriptors: Data Interpretation, Statistics, Correlation, Rhetoric
Peer reviewedScanlan, James P. – Public Interest, 1991
Demonstrates that conclusions drawn from statistics concerning racial disparities in income, infant mortality, sports participation, and other areas may be partly or wholly wrong, because disparities generally increase as conditions improve. Observes that flawed uses of statistics abound; points out some common errors in interpretation. (DM)
Descriptors: Blacks, College Athletics, Data Interpretation, Employment
Peer reviewedMullenex, James L. – Mathematics Teacher, 1990
Describes a five-number summary which is a display of the minimum value, lower quartile, median, upper quartile, and maximum value. Indicates how to draw box plots as graphical representations of a five-number summary. (YP)
Descriptors: Data Analysis, Data Interpretation, Graphs, Mathematics Materials
Peer reviewedCohen, Peter A. – Journal of Dental Education, 1992
Meta-analysis is proposed as an effective alternative to conventional narrative review for extracting trends from research findings. This type of analysis is explained, advantages over more traditional review techniques are discussed, basic procedures and limitations are outlined, and potential applications in dental education and clinical…
Descriptors: Data Interpretation, Dental Schools, Higher Education, Literature Reviews
Peer reviewedMooney, Edward S. – Mathematical Thinking and Learning, 2002
Reports on a study designed to develop and validate a framework for characterizing middle school students' thinking across four processes: describing data, organizing and reducing data, representing data, and analyzing and interpreting data. Results indicate that students progress through four levels of thinking within each statistical process.…
Descriptors: Cognitive Processes, Concept Formation, Data Analysis, Data Interpretation
Peer reviewedBrown, Richard; Davis, Gretchen – Mathematics Teacher, 1990
Presents an activity considering whether a difference exists in the age of Oscar winners. Describes how to draw a stem plot and a box plot as an example of implementing the recommendations of the NCTM Standards. Provides tables showing the name, movie titles, and ages of the Oscar winners since 1928. (YP)
Descriptors: Data Analysis, Data Interpretation, Graphs, Mathematics
Peer reviewedHunt, Gordon – Teaching Statistics, 1998
Describes an activity that engages pupils in the whole statistical process from collecting data to interpreting the results. Discusses the importance of these activities in developing knowledge, skills, understanding, and ability in problem solving. (Author/ASK)
Descriptors: Data Collection, Data Interpretation, Data Processing, Elementary Secondary Education

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