An Investigation Designed to Teach Statistical Thinking in the Midst of the COVID-19 Pandemic: Are Teens Living Like Vampires?

Statistical data on land area and building survey applications in Taipei City

An R package was used to statistically explore data as part of a study into the seasonality of diarrhoea cases in China. The datasets are in .csv and Excel format, with information gathered through a system of public health surveillance. The study was conducted in partnership with the Chinese Center for Disease Control and Prevention.

Presents data from the Pension Credit (PC) Quarterly Statistical Enquiry, shows the key features of the PC population, provides a summary of the main features of PC and how they affect numbers of recipients and amounts of benefit in payment.

Source agency: Social Development (Northern Ireland)

Designation: National Statistics

Language: English

Alternative title: Pension Credit Summary Statistics (Northern Ireland)

Abstract The purpose of this study is to know the perspectives and practices of two Mathematics teachers who work in the last years of Elementary School, before and after a professional development process through the teachers’ narratives. We use a qualitative approach, with an interpretative paradigm. The data was collected during the training and in the two years afterwards, through interviews. Data analysis was supported by concepts related to the training and practice of teachers who teach Statistics. The results show that the teachers initially valued teaching focused on mathematical procedures, where the meaning of the statistical concepts was not evidenced. With the training, they reframed their practice, since they began to value the statistics exploratory approach, namely with carrying out statistical investigations. With the undertaking of these investigations, the teachers show practices that favor the development of their students’ statistical literacy.

Taichung City's spatial map system query for various administrative areas statistics in July 2021.

The Data Shop department of the Statistical Office is the contact point for all questions relating to statistical information. The team manages the basic statistical offer of the Canton of Zurich and offers users free information and advice on enquiries by phone or e-mail. Since 2015, requests with metadata have been recorded and archived in a request statistics.

Presents data from the Income Support (IS) Quarterly Statistical Enquiry, shows the key features of the IS population and how they compare with claimants in earlier periods, provides a summary of IS features and how they affect numbers of recipients and amounts of benefit in payment.

Source agency: Social Development (Northern Ireland)

Designation: National Statistics

Language: English

Alternative title: Income Support Summary Statistics

Statistical decision theory (SDT) is a sub-field of decision theory that formally incorporates statistical investigation into a decision-theoretic framework to account for uncertainties in a decision problem. SDT provides a unifying analysis of three types of information: statistical results from a data set, knowledge of the consequences of potential choices (i.e., loss), and prior beliefs about a system. SDT links the theoretical development of a large body of statistical methods including point estimation, hypothesis testing, and confidence interval estimation. The theory and application of SDT have mainly been developed and published in the fields of mathematics, statistics, operations research, and other decision sciences, but have had limited exposure in ecology. Thus, we provide an introduction to SDT for ecologists and describe its utility for linking the conventionally separate tasks of statistical investigation and decision making in a single framework. We describe the basic fr...

Presents data from the Attendance Allowance (AA) Quarterly Statistical Enquiry, shows the key features of the AA population, provides a summary of the main features of AA and how they affect numbers of recipients and amounts of benefit in payment.

Source agency: Social Development (Northern Ireland)

Designation: National Statistics

Language: English

Alternative title: Attendance Allowance Summary Statistics (Northern Ireland)

Annual figures relating to number & type of queries coming into Enviro inbox on sustainable consumption and production. There are 4 tabs: short description of query; query by type of organisation or customer; query by subject matter; and type of comment (if any). Attribution statement:

Presents data from the State Retirement Pension (RP) Quarterly Statistical Enquiry, shows the key features of the RP population, provides a summary of the main features of RP and how they affect numbers of recipients and amounts of benefit in payment.

Source agency: Social Development (Northern Ireland)

Designation: National Statistics

Language: English

Alternative title: Retirement Pension Summary Statistics (Northern Ireland)

Annual figures relating to number & type of queries coming into Enviro inbox on biodiversity and wildlife. There are 4 tabs: short description of query; query by type of organisation or customer; query by subject matter; and type of comment (if any). Attribution statement:

We use data from eight satellites to statistically examine the role of chorus as a potential source of plasmaspheric hiss. We find that the strong equatorial (|&#955;m| < 6&#176;) chorus wave power in the frequency range 50 < f < 200 Hz does not extend to high latitudes in any MLT sector and is unlikely to be the source of the low frequency plasmaspheric hiss in this frequency range. In contrast, strong equatorial chorus wave power in the medium frequency range 200 < f < 2000 Hz is observed to extend to high latitudes and low altitudes in the pre-noon sector, consistent with ray tracing modelling from a chorus source and supporting the chorus to hiss generation mechanism. At higher frequencies, chorus may contribute to the weak plasmaspheric hiss seen on the dayside in the frequency range 2000 < f < 3000 Hz band, but is not responsible for the weak plasmaspheric hiss on the night-side in the frequency range 3000 < f < 4000 Hz. The research leading to these results has received funding from the Natural Environment Research Council (NERC) Highlight Topic grant NE/P01738X/1 (Rad-Sat) and the NERC grants NE/V00249X/1 (Sat-Risk) and NE/R016038/1. Jacob Bortnik received funding from NASA grant NNX14AI18G, and RBSP-ECT and EMFISIS funding provided by JHU/APL contracts 967399 and 921647 under NASA''s prime contract NAS5-01072. Wen Li and Xiao-Chen Shen received funding from NASA grants 80NSSC20K0698 and 80NSSC19K0845, NSF grant AGS-1847818, and the Alfred P. Sloan Research Fellowship FG-2018-10936.

Presents data from the Disability Living Allowance (DLA) Quarterly Statistical Enquiry, shows the key features of the DLA population, provides a summary of the main features of DLA and how they affect numbers of recipients and amounts of benefit in payment.

Source agency: Social Development (Northern Ireland)

Designation: National Statistics

Language: English

Alternative title: Disability Living Allowance Summary Statistics (Northern Ireland)

Presents data from the Carer's Allowance (CA) Quarterly Statistical Enquiry, shows the key features of the CA population, provides a summary of the main features of CA and how they affect numbers of recipients and amounts of benefit in payment. Source agency: Social Development (Northern Ireland) Designation: National Statistics Language: English Alternative title: Carer's Allowance Summary Statistics (Northern Ireland)

Building strong quantitative skills prepares undergraduate biology students for successful careers in science and medicine. While math and statistics anxiety can negatively impact student learning within biology classrooms, instructors may reduce this anxiety by steadily building student competency in quantitative reasoning through instructional scaffolding, application-based approaches, and simple computer program interfaces. However, few statistical programs exist that meet all needs of an inclusive, inquiry-based laboratory course. These needs include an open-source program, a simple interface, little required background knowledge in statistics for student users, and customizability to minimize cognitive load, align with course learning outcomes, and create desirable difficulty. To address these needs, we used the Shiny package in R to develop a custom statistical analysis application. Our “BioStats” app provides students with scaffolded learning experiences in applied statistics that promotes student agency and is customizable by the instructor. It introduces students to the strengths of the R interface, while eliminating the need for complex coding in the R programming language. It also prioritizes practical implementation of statistical analyses over learning statistical theory. To our knowledge, this is the first statistics teaching tool where students are presented basic statistics initially, more complex analyses as they advance, and includes an option to learn R statistical coding. The BioStats app interface yields a simplified introduction to applied statistics that is adaptable to many biology laboratory courses.

Primary Image: Singing Junco. A sketch of a junco singing on a pine tree branch, created by the lead author of this paper.

Annual figures relating to number & type of queries coming into Enviro inbox on waste and recycling. There are 4 tabs: short description of query; query by type of organisation or customer; query by subject matter; and type of comment (if any). Attribution statement:

Annual figures relating to number & type of queries coming into Enviro inbox on water quality and abstraction. There are 4 tabs: short description of query; query by type of organisation or customer; query by subject matter; and type of comment (if any). Attribution statement: