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Chen, Lin-An; Kao, Chu-Lan Michael – International Journal of Mathematical Education in Science and Technology, 2022
The uniformly most accurate (UMA) is an important optimal approach in interval estimation, but the current literature often introduces it in a confusing way, rendering the learning, teaching and researching of UMA problematic. Two major aspects cause this confusion. First, UMA is often interpreted to maximize the accuracy of coverage, but in fact,…
Descriptors: Accuracy, Mathematics Instruction, Learning Processes, Probability
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Withers, Christopher S.; Nadarajah, Saralees – International Journal of Mathematical Education in Science and Technology, 2011
The linear regression model is one of the most popular models in statistics. It is also one of the simplest models in statistics. It has received applications in almost every area of science, engineering and medicine. In this article, the authors show that adding a predictor to a linear model increases the variance of the estimated regression…
Descriptors: Regression (Statistics), Computation, Models, Prediction
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Shi, W.; Kibria, B. M. Golam – International Journal of Mathematical Education in Science and Technology, 2007
A number of methods are available in the literature to measure confidence intervals. Here, confidence intervals for estimating the population mean of a skewed distribution are considered. This note proposes two alternative confidence intervals, namely, Median t and Mad t, which are simple adjustments to the Student's t confidence interval. In…
Descriptors: Program Effectiveness, Probability, Intervals, Simulation
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International Journal of Mathematical Education in Science and Technology, 2007
In this issue's "Classroom Notes" section, the following papers are described: (1) "Sequences of Definite Integrals" by T. Dana-Picard; (2) "Structural Analysis of Pythagorean Monoids" by M.-Q Zhan and J. Tong; (3) "A Random Walk Phenomenon under an Interesting Stopping Rule" by S. Chakraborty; (4) "On Some Confidence Intervals for Estimating the…
Descriptors: Mathematics Education, Intervals, Least Squares Statistics, Equations (Mathematics)