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Holland, Paul W.; Rubin, Donald B. – 1982
Lord's Paradox is analyzed in terms of a simple mathematical model for causal inference. The resolution of Lord's Paradox from this perspective has two aspects. First, the descriptive, non-causal conclusions of the two hypothetical statisticians are both correct. They appear contradictory only because they describe quite different aspects of the…
Descriptors: Estimation (Mathematics), Influences, Mathematical Models, Research Methodology
Jones, Douglas H. – 1982
New ability estimators have been proposed by Wainer and Wright (1980) and Mislevy and Bock (1981) that are resistant against guessing and careless behaviors exhibited by some examinees. This paper presents another class of ability estimators that are resistant to departures from the underlying assumptions concerning guessing and carelessness. In…
Descriptors: Estimation (Mathematics), Guessing (Tests), Latent Trait Theory, Mathematical Models
Peer reviewedHedges, Larry V.; Stock, William – American Educational Research Journal, 1983
The results of reanalyses of statistical procedures used in the class-size meta-analyses by Glass and Smith are reported. The analyses suggest that the use of suboptimal statistical methods did not greatly affect the results of the meta-analyses by Glass and Smith. (Author/PN)
Descriptors: Academic Achievement, Class Size, Estimation (Mathematics), Hypothesis Testing
Peer reviewedRiley, Kyle – Mathematics and Computer Education, 2002
Presents a simple method for estimating the volatility of stock prices and uses a spreadsheet to apply the method to actual stock prices. This method is an application of parameter estimation and can be used in an introductory statistics course. (KHR)
Descriptors: Computer Uses in Education, Economics, Estimation (Mathematics), Higher Education
Peer reviewedNichols, James D. – Bioscience, 1992
Describes advances in capture-recapture modeling, including the biologically motivated emphasis on model-based hypothesis testing and the development of models for spatially stratified populations. Discusses the severe problems associated with count statistics reflecting unknown sampling fractions. (67 references) (KR)
Descriptors: Ecological Factors, Estimation (Mathematics), Higher Education, Mathematical Models
Correcting for Systematic Bias in Sample Estimates of Population Variances: Why Do We Divide by n-1?
PDF pending restorationMittag, Kathleen Cage – 1992
An important topic presented in introductory statistics courses is the estimation of population parameters using samples. Students learn that when estimating population variances using sample data, we always get an underestimate of the population variance if we divide by n rather than n-1. One implication of this correction is that the degree of…
Descriptors: College Mathematics, Computer Software, Equations (Mathematics), Estimation (Mathematics)


