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Arzumanyan, George; Halcoussis, Dennis; Phillips, G. Michael – American Journal of Business Education, 2015
This paper presents the Agresti & Coull "Adjusted Wald" method for computing confidence intervals and margins of error for common proportion estimates. The presented method is easily implementable by business students and practitioners and provides more accurate estimates of proportions particularly in extreme samples and small…
Descriptors: Business Administration Education, Error of Measurement, Error Patterns, Intervals

Graeber, Anna O.; And Others – Journal for Research in Mathematics Education, 1989
Studied were the misconceptions that preservice elementary teachers have about multiplication and division. Results indicated that they are influenced by the same primitive models as students; the most common errors made by both groups are quite similar. (MNS)
Descriptors: Cognitive Structures, College Students, Computation, Concept Formation
Advanced Technology, Inc., Reston, VA. – 1984
Edits that can be performed by the processor who applies for federal campus-based student aid programs are discussed, along with a longer-term approach to assessing the efficacy of recommended edit checks. Attention is focused on the accuracy of data submitted by institutions on the application portion of the Fiscal Operations Report and…
Descriptors: Computation, Data Collection, Error Patterns, Evaluation Methods
Advanced Technology, Inc., Reston, VA. – 1985
Efforts of the Department of Education (ED) to simplify the Pell Grant formula by reducing the number of data elements used to calculate awards (i.e., data element reduction) are evaluated. A framework is developed to assess the critical characteristics of individual data elements, to eliminate elements from the formula, and to develop proposals…
Descriptors: Computation, Data Collection, Efficiency, Eligibility
Advanced Technology, Inc., Reston, VA. – 1984
Errors made in the allocation of federal funds to institutions for the three campus-based aid programs specified in Title IV of the Higher Education Act are discussed. Funds are allocated directly to participating colleges, which in turn award the money to students, for the following programs: Supplemental Education Opportunity Grants, College…
Descriptors: Accountability, Computation, Data Collection, Enrollment Rate
Advanced Technology, Inc., Reston, VA. – 1984
Error analysis for the institutional process of applying for federal aid is considered as part of the Quality Control Study of the U.S. Office of Student Financial Aid. Attention is focused on the results of the data collection activities that occurred using the Department of Education's records for the Fiscal-Operations Report and Application to…
Descriptors: Accountability, Computation, Data Collection, Enrollment Rate
Advanced Technology, Inc., Reston, VA. – 1984
The impact of data discrepancies made by colleges on the Fiscal Operations Report and Application to Participate (FISAP) is addressed, with attention to both impact on the entire aid program and resource allocation to institutions. Brief descriptions are provided of the allocation formulas for the three campus-based aid programs (Supplemental…
Descriptors: Computation, Data Collection, Error Patterns, Evaluation Criteria
Suydam, Marilyn N., Ed.; Kasten, Margaret L., Ed. – Investigations in Mathematics Education, 1984
This issue contains abstracts and critical comments on 11 articles, plus an editorial comment entitled "A Teacher Shortage?". Studies included concern solution processes on addition and subtraction examples; numerical rule induction; individual differences in performance on manipulative, pictorial, and symbolic tasks; the effect of a…
Descriptors: Algebra, Area, Calculators, Cognitive Processes