Digital Commons Network^™

Creating A Culturally Relevant Statistics Assignment On Z-Scores, Grace Pai

Publications and Research

Culturally relevant teaching or pedagogy has become increasingly popular both in practice and in research, but there are still few curricular resources for instructors to use, particularly for a college-level mathematics course. Departing from the question “relevant to whom,” this article illustrates how to design a statistics assignment on z-scores that is culturally relevant to students based on their prior experiences. Ultimately, the author shares design principles—which includes the importance of considering student trauma—that can be transferable to any statistics or quantitative analysis/reasoning class.

Pisa 2018: Financial Literacy In Australia, Sue Thomson, Lisa De Bortoli, Catherine Underwood, Marina Schmid

OECD Programme for International Student Assessment (PISA) Australia

The Programme for International Student Assessment (PISA) 2018 is the seventh cycle of PISA since it was first conducted in 2000 and measures students’ skills in the core areas of reading literacy, mathematical literacy and scientific literacy. Since PISA 2012, financial literacy has been included as an additional optional assessment that accompanies the core assessments. In Australia, the financial literacy assessment is funded by the Australian Securities and Investment Commission. This report presents the results for the third assessment of financial literacy and focuses on the measurement of financial literacy for Australia as a whole and for different demographic groups, …

Teaching Business Statistics: Some Useful Relationships, Phil Rice, Chris Brune

Articles

The purpose of this paper is to suggest an instructional approach in the introductory business statistics course that utilizes relationships between separately introduced topics. The paper will explore three “useful relationships” that can assist classroom instruction: (1) the relationship between the simple arithmetic mean, the weighted arithmetic mean, and the expected value of a discrete probability distribution; (2) the relationship between the use of the multiplication rule to calculate the joint probability associated with two events, use of tree diagrams, and the use of the binomial and hypergeometric distributions; and (3) the relationship between the geometric mean and the compound …

Playfair's Introduction Of Bar And Pie Charts To Represent Data, Diana White, River Bond, Joshua Eastes, Negar Janani

Statistics and Probability

No abstract provided.

Representing And Interpreting Data From Playfair, Diana White, River Bond, Joshua Eastes, Negar Janani

Statistics and Probability

No abstract provided.

Seeing And Understanding Data, Beverly Wood, Charlotte Bolch

Statistics and Probability

No abstract provided.

Quantifying Certainty: The P-Value, Dominic Klyve

Statistics and Probability

No abstract provided.

Formative Evaluation Of A Web-Based Multimedia Intervention To Support Learning Of Statistics, Natalya Koehler, Ana-Paula Correia, Nimet Alpay, Carolyn Levally

All Faculty and Staff Scholarship

No abstract provided.

Pisa 2015 : A First Look At Australia’S Results, Sue Thomson, Lisa De Bortoli, Catherine Underwood

OECD Programme for International Student Assessment (PISA) Australia

The Programme for International Student Assessment (PISA) is an international comparative study of student achievement directed by the Organisation for Economic Co-operation and Development (OECD). PISA 2015 represents the sixth such study since PISA was first conducted in 2000. Seventy-two OECD countries or partner economies participated in PISA 2015. In Australia, PISA is managed by the Australian Council for Educational Research (ACER) and is jointly funded by the Australian Government and the state and territory governments. The goal of PISA is to measure how well 15-year-olds, who are nearing the end of their compulsory schooling in most participating educational systems, …

Gaiseing Into The New Guidelines, Robert Carver, Megan Mocko, Jeffrey Witmer, Beverly Wood

Publications

The first GAISE College Report came out in 2005. Over the past ten years our discipline has changed in many ways, including but not limited to what type of data is easily available, the technology that we use, as well as how we teach students. In this presentation we will briefly start with how the new GAISE 2016 guidelines and goals have changed, including the two new emphases of statistical thinking: giving students experience with multivariable thinking and with the investigative process. So how do you start to implement these new ideas? In this presentation, we will demonstrate an activity …

The Effect Of Robotics On Test Scores And Involvement In Stem Fields, Nicole Costa

Undergraduate Research

There is an under-representation of women in science, technology, engineering, and mathematics (STEM) fields that influences society’s perception of women’s abilities in mathematics and science. This study researches the implications of participation in robotics on girls’ achievement and perceptions. Specifically studying the population at the high school of Mount Saint Joseph Academy, it searches for a correlation between membership on the Firebirds Robotics Team and higher GPA scores, SAT scores, and likelihood of having a major in STEM. Data was collected on robotics and non-robotics alumni by using a survey. Various significance tests including t-tests, signed rank tests, and paired …

Pisa 2015 : A First Look At Australia’S Results Data Tables [Excel] [Data Set], Sue Thomson, Lisa De Bortoli, Catherine Underwood

OECD Programme for International Student Assessment (PISA) Australia

The data tables for the report PISA 2015 : a first look at Australia's results (2016). This report provided a first look at the results from PISA 2015, and focused on the achievement results in scientific, reading and mathematical literacy.

Implementing The Common Core’S Promise Of Bringing Statistical Curricula Into Line With Recommendations Of Nctm, Maa, & Gaise, Beverly Wood, Carl Clark

Publications

We plan to make a case for the necessity of GAISE-aligned college courses in order to prepare future teachers to teach in Common Core K-12 classrooms. Beginning with an overview of the parallel evolutions of Cobb/MAA suggestions - GAISE recommendations for teaching and NCTM process standards - Common Core mathematical practices, we will emphasize that we should be modeling what researchers continually conclude are best practices for teaching/learning across the K-16 continuum. We will provide some examples to illustrate classroom tasks that satisfy both GAISE and Common Core and hope to generate some discussion of other activities already used by …

Lack Of Quantitative Training Among Early-Career Ecologists: A Survey Of The Problem And Potential Solutions, F. Barraquand, T. G. Ezard, P. Søgaard Jørgensen, Naupaka B. Zimmerman, S. Chamberlain, R. Salguero-Gómez, T. J. Curran, T. Poisot

Biology Faculty Publications

Proficiency in mathematics and statistics is essential to modern ecological science, yet few studies have assessed the level of quantitative training received by ecologists. To do so, we conducted an online survey. The 937 respondents were mostly early-career scientists who studied biology as undergraduates. We found a clear self-perceived lack of quantitative training: 75% were not satisfied with their understanding of mathematical models; 75% felt that the level of mathematics was “too low” in their ecology classes; 90% wanted more mathematics classes for ecologists; and 95% more statistics classes. Respondents thought that 30% of classes in ecology-related degrees should be …

Gaise In Discipline-Specific Courses, Beverly Wood

Publications

While acknowledging the diverse setting, audience, and purpose of introductory courses, existing research assumes that courses offered by different disciplines share the same goals and teaching practices. The purpose of this study is to examine the objectives for student outcomes and pedagogical delivery of introductory statistics courses designed for students in a specific major, providing explicit evidence for this assumption.

The American Statistical Association’s Guidelines for Assessment and Instruction in Statistics Education (GAISE) are meant to apply to all introductory courses. The College Report’s Goals for Students and Recommendations for Teaching are used as a framework for a qualitative study …

A Bayesian Secondary Analysis In An Asthma Study, Samuel P. Wilcock, Vernon M. Chinchilli, Stephen P. Peters

ACMS Conference Proceedings 2011

A recent study published in the New England Journal of Medicine by the Asthma Clinical Research Network (ACRN) compared three different treatments for their effectiveness in treating adults with uncontrolled asthma. This paper will describe the study design and its results, then detail the beginnings of a secondary analysis using Bayesian methods to estimate the parameters of interest. The methods will be explained, and the preliminary estimates given and contextualized. The paper will conclude with a discussion of the next steps and the goals for further analysis of the data in this study.

An Exploration Into How Physical Activity Data-Recording Devices Could Be Used In Computer-Supported Data Investigations, Victor R. Lee, Maneksha Dumont

Instructional Technology and Learning Sciences Faculty Publications

There is a great potential opportunity to use portable physical activity monitoring devices as data collection tools for educational purposes. Using one such device, we designed and implemented a weeklong workshop with high school students to test the utility of such technology. During that intervention, students performed data investigations of physical activity that culminated in the design and implementation of their own studies. In this paper, we explore some of the mathematical thinking that took place through a series of vignettes of a pair of students engaged in analyzing some of their own activity data. A personal connection to the …

America Calling: A Social History Of The Telephone To 1940. (Book Review), Philip A. Reed

STEMPS Faculty Publications

No abstract provided.