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Hayes, Kevin – Teaching Statistics: An International Journal for Teachers, 2010
This article considers prototype data sets that attain lower and upper bounds on the standard deviation in terms of the range.
Descriptors: Statistics, Measurement, Statistical Data
Cai, Li; Monroe, Scott – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2014
We propose a new limited-information goodness of fit test statistic C[subscript 2] for ordinal IRT models. The construction of the new statistic lies formally between the M[subscript 2] statistic of Maydeu-Olivares and Joe (2006), which utilizes first and second order marginal probabilities, and the M*[subscript 2] statistic of Cai and Hansen…
Descriptors: Item Response Theory, Models, Goodness of Fit, Probability
Pattison, Sandra; Hargreaves, Jo – National Centre for Vocational Education Research (NCVER), 2009
The National Centre for Vocational Education Research (NCVER) was asked by Technical and Further Education (TAFE) Directors Australia to consider, in a discussion paper for their conference held on the Gold Coast in September 2009, how a "tertiary education" sector impacts on the way people think about research and statistics. While a…
Descriptors: Higher Education, Foreign Countries, Databases, Statistics
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
Hussar, William J.; Bailey, Tabitha M. – National Center for Education Statistics, 2009
"Projections of Education Statistics to 2018" is the 37th report in a series begun in 1964. It includes statistics on elementary and secondary schools and degree-granting institutions. Included are projections of enrollment, graduates, teachers, and expenditures to the year 2018. This is the first edition of the "Projections of…
Descriptors: Secondary Schools, High School Graduates, Methods, Statistics
Akram, Muhammad; Siddiqui, Asim Jamal; Yasmeen, Farah – International Journal of Mathematical Education in Science and Technology, 2004
In order to learn the concept of statistical techniques one needs to run real experiments that generate reliable data. In practice, the data from some well-defined process or system is very costly and time consuming. It is difficult to run real experiments during the teaching period in the university. To overcome these difficulties, statisticians…
Descriptors: Statistics, Teaching Methods, Statistical Data, Higher Education
Dinov, Ivo D. – Online Submission, 2006
The need for hands-on computer laboratory experience in undergraduate and graduate statistics education has been firmly established in the past decade. As a result a number of attempts have been undertaken to develop novel approaches for problem-driven statistical thinking, data analysis and result interpretation. In this paper we describe an…
Descriptors: Statistical Data, Statistical Analysis, Probability, Internet
Sussman, Susan B. – Movement for Canadian Literacy, 2003
This report describes a project originally intended to identify demographic patterns among adults with low literacy skills in each Canadian province. The project was carried out between March 2000 and June 2001 under the auspices of Movement for Canadian Literacy (MCL). The project was based on the assumption that demographic information about…
Descriptors: Program Effectiveness, Older Adults, Demography, Research Methodology