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A Review of Klein, N., & Stefoff, R. (2021)’s How to Change Everything: A Young Human’s Guide to Protecting the Planet and Each Other
No full textHow to Change Everything (2021) takes Klein\u27s renowned work This Changes Everything (2014), and with the support of Rebecca Stefoff, an author with significant experience writing for young readers, targets the youth that came of age during the climate strikes. Throughout the 300 well-paced and authoritative pages, Klein and Stefoff centre the work of Greta Thunberg and the principles of climate justice and seek to build on the momentum of youth activism from before the pandemic. Yet readers coming from a public education background will note the dearth of practical applications for the classroom. The world of tomorrow will be changed through movement building outside of the school and instead in community and on the streets claim Klein and Stefoff, leaving behind increasingly disconnected systems of education
A Modified Weighted Rayleigh Distribution and Its Bivariate Extension
No full textIn this paper, a new version of weighted Rayleigh distribution is constructed and studied. The statistical properties of the new distribution including the behavior of hazard and reversed hazard functions, moments, the central moments, moment generating function, mean, variance, coefficient of skewness, coefficient of kurtosis, median, mode, quantiles, stochastic ordering, exact information matrix and order statistics are also obtained, a simulation study and real data applications are performed. Furthermore, a bivariate extension of the new distribution called the bivariate modified Rayleigh (BMWR) distribution is introduced. The proposed bivariate distribution is of type Farlie–Gumbel–Morgenstern (FGM) copula. The BMWR distribution has modified weighted Rayleigh marginal distributions. The joint cumulative distribution function, the joint survival function, the joint probability density function, the joint hazard rate function and the statistical properties of the BMWR distribution are also derived
Estimation of Population Size Using Ranked Set Sampling and Some of its Variations
No full textThe purpose of this paper is to estimate the population size of known total, using a sample that chosen using ranked set sampling technique and some of its variations; in particular, Ranked Set Sampling (RSS), Moving Extreme Ranked Set Sampling (MERSS) and Median Ranked Set(MRSS) are considered. The estimators obtained are compared with their counterparts using simple random sampling(SRS). It turned out that the estimators using RSS and its variations are more efficient than the corresponding estimators using SRS
A Modified Weighted Uniform Distribution And Its Bivariate Extension
No full textIn this paper a new version of weighted uniform distribution is constructed and studied. The statistical properties of the new distribution including the behavior of hazard and reversed hazard functions, moments, the central moments, moment generating function, mean, variance, coefficient of skewness, coefficient of kurtosis, median, mode, quantile , stochastic ordering and order statistics are also obtained, a simulation study and real data applications are performed. Moreover, a bivariate extension of the new distribution named the bivariate modified uniform (BMWU) distribution is introduced. The proposed bivariate distribution is of type Farlie–Gumbel–Morgenstern (FGM) copula. The BMWU distribution has modified weighted uniform marginal distributions. The joint cumulative distribution function, the joint survival function, the joint probability density function, the joint hazard rate function and the statistical properties of the BMWU distribution are also derived
Gesturing and Image Making: Growing Mathematics Understanding
No full textThis article explores the role that gestures play in the development of mathematical understanding. Using Pirie Kieren’s notion of image making and Lunney Borden’s idea of verbing mathematics, we share two examples of how students respond to teacher requests to demonstrate what they know about arrays.
Keywords: image making, verbing mathematics, gesturing, mathematic
Errata
No full textErratum for The Marshall-Olkin-Odd Power Generalized Weibull-G Family of Distributions with Applications of COVID-19 Data.
Erratum for The Exponentiated Half Logistic-Generalized G Power Series Class of Distributions: Properties and Applications.
Erratum for The Gompertz-Topp-Leone-G Family of Distributions with Applications
New Series of Super-Saturated Design
No full textIn this paper, a new series supersaturated design is proposed using Partially Balanced Incomplete Block Design through a combinatorial arrangement of the incidence matrix of a Balanced Incomplete Block Design. The method was illustrated with suitable example.
Keywords: SSD, incidence matrix, BIBD
Generalized Estimator of Population Variance utilizing Auxiliary Information in Simple Random Sampling Scheme
No full textIn this study, using the Simple Random Sampling without Replacement (SRSWOR) method, we propose a generalized estimator of population variance of the primary variable. Up to the first order of approximation, the bias and Mean Squared Error (MSE) expressions for the suggested estimator are produced. The suggested estimator\u27s characterizing scalar is optimized, and for this optimal value of the characterizing constant, the suggested estimator\u27s least MSE is also determined. The efficiency criteria of the suggested estimator over the other estimators are determined after a theoretical comparison of the proposed estimator with the other population variance estimators that already exist. Several actual natural populations are used to validate these efficiency parameters. For practical use in various application domains, the estimator with the lowest MSE and the best Percentage Relative Efficiency (PRE) is advised.In this study, using the Simple Random Sampling without Replacement (SRSWOR) method, we propose a generalized estimator of population variance of the primary variable. Up to the first order of approximation, the bias and Mean Squared Error (MSE) expressions for the suggested estimator are produced. The suggested estimator\u27s characterizing scalar is optimized, and for this optimal value of the characterizing constant, the suggested estimator\u27s least MSE is also determined. The efficiency criteria of the suggested estimator over the other estimators are determined after a theoretical comparison of the proposed estimator with the other population variance estimators that already exist. Several actual natural populations are used to validate these efficiency parameters. For practical use in various application domains, the estimator with the lowest MSE and the best Percentage Relative Efficiency (PRE) is advised.In this study, using the Simple Random Sampling without Replacement (SRSWOR) method, we propose a generalized estimator of population variance of the primary variable. Up to the first order of approximation, the bias and Mean Squared Error (MSE) expressions for the suggested estimator are produced. The suggested estimator\u27s characterizing scalar is optimized, and for this optimal value of the characterizing constant, the suggested estimator\u27s least MSE is also determined. The efficiency criteria of the suggested estimator over the other estimators are determined after a theoretical comparison of the proposed estimator with the other population variance estimators that already exist. Several actual natural populations are used to validate these efficiency parameters. For practical use in various application domains, the estimator with the lowest MSE and the best Percentage Relative Efficiency (PRE) is advised.In this study, using the Simple Random Sampling without Replacement (SRSWOR) method, we propose a generalized estimator of population variance of the primary variable. Up to the first order of approximation, the bias and Mean Squared Error (MSE) expressions for the suggested estimator are produced. The suggested estimator\u27s characterizing scalar is optimized, and for this optimal value of the characterizing constant, the suggested estimator\u27s least MSE is also determined. The efficiency criteria of the suggested estimator over the other estimators are determined after a theoretical comparison of the proposed estimator with the other population variance estimators that already exist. Several actual natural populations are used to validate these efficiency parameters. For practical use in various application domains, the estimator with the lowest MSE and the best Percentage Relative Efficiency (PRE) is advised.In this study, using the Simple Random Sampling without Replacement (SRSWOR) method, we propose a generalized estimator of population variance of the primary variable. Up to the first order of approximation, the bias and Mean Squared Error (MSE) expressions for the suggested estimator are produced. The suggested estimator\u27s characterizing scalar is optimized, and for this optimal value of the characterizing constant, the suggested estimator\u27s least MSE is also determined. The efficiency criteria of the suggested estimator over the other estimators are determined after a theoretical comparison of the proposed estimator with the other population variance estimators that already exist. Several actual natural populations are used to validate these efficiency parameters. For practical use in various application domains, the estimator with the lowest MSE and the best Percentage Relative Efficiency (PRE) is advised.In this study, using the Simple Random Sampling without Replacement (SRSWOR) method, we propose a generalized estimator of population variance of the primary variable. Up to the first order of approximation, the bias and Mean Squared Error (MSE) expressions for the suggested estimator are produced. The suggested estimator\u27s characterizing scalar is optimized, and for this optimal value of the characterizing constant, the suggested estimator\u27s least MSE is also determined. The efficiency criteria of the suggested estimator over the other estimators are determined after a theoretical comparison of the proposed estimator with the other population variance estimators that already exist. Several actual natural populations are used to validate these efficiency parameters. For practical use in various application domains, the estimator with the lowest MSE and the best Percentage Relative Efficiency (PRE) is advised
A Review of Engaging With Meditative Inquiry in Teaching, Learning and Research: Realizing Transformative Potential in Diverse Contexts
No full textA Review of Engaging With Meditative Inquiry in Teaching, Learning and Research: Realizing Transformative Potential in Diverse Contexts by Ashwani Kumar (Ed)
Inclusive Classrooms: A Confessional Tale on a Métissage
No full textThis article is written as a confessional tale of the authors’ experience of conducting a métissage research process on inclusive classrooms within a course as part of a graduate program. Amanda, the lead author, is a queer elementary school teacher, researching the 2SLGBTQIA+ community within local classrooms and schools, and the Tim is their instructor in a research methods course. Together, we worked to explore the métissage methodology through a confessional tale to unpack the process and to frame the performance piece shared as an anonymously read métissage based on three participants’ voices: (a) a teacher and parent of a child with a disability, (b) an Indigenous teacher and (c) the lead author’s voice as a queer teacher.
As Kluge (2001) explained, confessional tales represent the researcher’s personal account through the reflexive process that they experienced in the beginning, during, and at the end of the research process. Confessional tale is the postscript that follows the research progression in a highly personal diary-like format (Van Maanen, 1988). A métissage is an arts-based research methodology where a series of narrative writings by single authors are woven together to create a larger, thematic text, with the intent of “transformation from the inside out” (Worley, 2006, p. 518). In this article, therefore, we offer insights from Amanda\u27s reflective comments, with their critical friend Tim (course instructor), on both the métissage process and their commitment to use research to create safer spaces for all through promoting participatory lived experience insights on inclusivity.
Keywords: confessional, métissage, inclusion, queer, LGBTQ, Indigenous, disability, performance, participator