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Kosei Fukuda – Teaching Statistics: An International Journal for Teachers, 2024
In statistics classes, the central limit theorem has been demonstrated using simulation-based illustrations. Known population distributions such as a uniform or exponential distribution are often used to consider the behavior of the sample mean in simulated samples. Unlike such simulations, a number of real-data-based simulations are here…
Descriptors: Foreign Countries, Business, Business Administration Education, Sample Size
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Lisa J. Elliott; Joan Middendorf – International Journal for the Scholarship of Teaching and Learning, 2024
Teaching and learning undergraduate statistics has been a most challenging task for undergraduate psychology majors (Salkind, 2017). A seasoned statistics instructor consulted with a seasoned instructional designer on a method to improve a particularly demanding course using a performance improvement approach to address learning difficulties she…
Descriptors: Undergraduate Students, Psychological Studies, Statistics Education, Teaching Methods
Yongyun Shin; Stephen W. Raudenbush – Grantee Submission, 2023
We consider two-level models where a continuous response R and continuous covariates C are assumed missing at random. Inferences based on maximum likelihood or Bayes are routinely made by estimating their joint normal distribution from observed data R[subscript obs] and C[subscript obs]. However, if the model for R given C includes random…
Descriptors: Maximum Likelihood Statistics, Hierarchical Linear Modeling, Error of Measurement, Statistical Distributions
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Stoessiger, Rex – Australian Senior Mathematics Journal, 2013
A critical numeracy examination of Benford's Law suggests that our understanding of the integers is faulty. We think of them as equally likely to turn up as the first digit of a random real world number. For many real world data sets this is not true. In many cases, ranging from eBay auction prices to six digit numbers in Google to the…
Descriptors: Numbers, Numeracy, Mathematics, Mathematics Instruction
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Curran-Everett, Douglas – Advances in Physiology Education, 2011
Learning about statistics is a lot like learning about science: the learning is more meaningful if you can actively explore. This seventh installment of "Explorations in Statistics" explores regression, a technique that estimates the nature of the relationship between two things for which we may only surmise a mechanistic or predictive…
Descriptors: Regression (Statistics), Statistics, Models, Correlation
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Rui, Ning – Society for Research on Educational Effectiveness, 2013
An institution that offers high-quality study abroad programs is perceived as likely to provide a stimulating learning environment for the students (Stroud, 2010). However, there are very few well-designed evaluation studies that provide evidence about the types of impacts of study abroad programs on students' academic and non-academic outcomes.…
Descriptors: Study Abroad, College Students, Probability, Cultural Awareness
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Shiwalkar, Jyoti P.; Deshpande, M. N. – Teaching Statistics: An International Journal for Teachers, 2009
We find the correlation of two jointly distributed random variables connected with a coin tossing experiment. The marginal distributions are binomial and negative binomial.
Descriptors: Computation, Correlation, Predictor Variables, Experiments
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van Ommeren, Alice – Journal of Applied Research in the Community College, 2011
The results of this study determined that community college students who transfer to for-profit institutions are indeed different from students who follow traditional routes defined as public and non-profit institutions. This study compares the demographic characteristics, academic experiences, and socioeconomic factors of California community…
Descriptors: College Transfer Students, Community Colleges, Transfer Students, Demography
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Fuhr, Norbert; Huther, Hubert – Information Processing and Management, 1989
Discusses the interdependencies between parameter estimation and properties of probabilistic models, such as dependency assumptions, binary vs. nonbinary features, and estimation sample selection. An optimum estimation for binary features applicable to information retrieval is defined, a method for computing this estimation using empirical data is…
Descriptors: Estimation (Mathematics), Information Retrieval, Mathematical Models, Predictor Variables