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Francis, Krista; Jacobsen, Michele; Friesen, Sharon – Journal of Information Technology Education: Research, 2014
Visuals and graphics have been used for communicating complex ideas since 1786 when William Playfair first invented the line graph and bar chart. Graphs and charts are useful for interpretation and making sense of data. For instance, John Snow's scatter plot helped pinpoint the source of a cholera outbreak in London in 1854 and also changed…
Descriptors: Graphs, Charts, Longitudinal Studies, Statistical Data
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Bradstreet, Thomas E.; Palcza, John S. – Teaching Statistics: An International Journal for Teachers, 2012
Data from a cough challenge study are displayed with dot charts to demonstrate the importance of graphs in understanding data, principles of graph construction and visual perception. The data are available for use in the classroom.
Descriptors: Visual Perception, Statistics, Mathematical Concepts, Mathematics Instruction
State Higher Education Executive Officers, 2012
The State Higher Education Finance (SHEF) report is produced annually by the State Higher Education Executive Officers (SHEEO) to broaden understanding of the context and consequences of multiple decisions made every year in each of these areas. No single report can provide definitive answers to such broad and fundamental questions of public…
Descriptors: Higher Education, Tax Effort, Income, Educational Finance
Cleveland, William S. – 1984
Experimentation with graphical methods for data presentation is important for improving graphical communication in science. Several graphical methods are discussed including full scale breaks, dot charts, and multibased logging. Full scale breaks are suggested as replacements for partial scale breaks since partial scale breaks can fail to provide…
Descriptors: Charts, Graphs, Research Methodology, Statistical Data
Blumberg, Carol Joyce – 1989
A subset of Statistical Process Control (SPC) methodology known as Control Charting is introduced. SPC methodology is a collection of graphical and inferential statistics techniques used to study the progress of phenomena over time. The types of control charts covered are the null X (mean), R (Range), X (individual observations), MR (moving…
Descriptors: Charts, Data Analysis, Educational Research, Evaluation Methods
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Walker, Gay; And Others – College and Research Libraries, 1985
Results of survey evaluating physical condition of 36,500 volumes and nature of collections in Yale University Library system reveal that 37.1 percent of books sampled overall had brittle paper and 82.6 percent had acidic paper. Sampling methodology, survey instructions, abbreviations for publishing countries, and methods of statistical analysis…
Descriptors: Charts, College Libraries, Graphs, Higher Education
Schwabe, Robert A. – 1993
Interest in Total Quality Management (TQM) at institutions of higher education has been stressed in recent years as an important area of activity for institutional researchers. Two previous AIR Forum papers have presented some of the statistical and graphical methods used for TQM. This paper, the third in the series, first discusses some of the…
Descriptors: Case Studies, Charts, Colleges, Computer Software
Hopp, David I. – 1980
A reporting and study format for the investigation of university student retention is presented. Student progression and loss is shown graphically and in tabular form to enable ready comprehension and encourage data exploration. Data obtained at Virginia Commonwealth University for 1977-80 are used as illustration. Two ways of viewing student…
Descriptors: Academic Persistence, Cohort Analysis, College Students, Comparative Analysis