Statistics Teachers' Day Resources - ��Ӱֱ��

Data literacy and critical questions

Anne Patel — Wed, 13 Dec 2023 21:14:16 +0000

Marina McFarland and Richard Mariu (Auckland Girls’ Grammar School) presented a data literacy workshop at the 2023 Statistics Teachers’ Day.

Participants analysed articles using the frameworks provided (). Further online data literacy resources developed for the TFC (Tertiary Foundation Program) at the University of Auckland are also included. They could be repurposed for Level 2/3 Statistics or Scholarship programs as a weekly focus on developing students’ data literacy capabilities.

Have students select and design their own online data literacy resource, then send in resources to share.

Resources

The post Data literacy and critical questions appeared first on ��Ӱֱ��.

Statistics Teachers’ Day 2023

Anne Patel — Fri, 08 Dec 2023 03:30:18 +0000

At the end of each year, this professional development day is packed with teaching and learning ideas.

Statistics Teachers’ Day takes place at Auckland University, where stats education researchers, PhD students, and practising statisticians share what they are discovering in data. Many teachers also share their classroom practice and resource development, modelling excellent teaching and learning with and about data on the day.

Resources

The post Statistics Teachers’ Day 2023 appeared first on ��Ӱֱ��.

Statistics Teachers’ Day 2021

Chris Wild — Sun, 12 Dec 2021 23:06:24 +0000

Keynote 1:

Themed Workshops for Curriculum level 6:

()

Keynote 2:

(, )

The post Statistics Teachers’ Day 2021 appeared first on ��Ӱֱ��.

Adventures in Statistical Ecology

cre8d — Wed, 04 Mar 2020 22:49:02 +0000

We live in a changing world. Our planet is warming, habitats are transforming, and animal species are becoming extinct at a rate not seen for 65 million years. Mankind must act – but what actions should we take? Environmental managers must navigate a labyrinth of competing interests to make the best decisions for a sustainable future.

To assess the ecological impact of our actions we must first understand animal populations themselves. Demographic parameters of even well-studied populations are shrouded in uncertainty: How many animals are there? Are their numbers growing or shrinking? Where do they live and roam? How far do they move? These are seemingly simple questions, but data collected on wildlife surveys are complex and noisy. We need statistical methods to transform data into answers.

The last couple of decades have witnessed The Rise of the Statistical Ecologist as a response to this challenge. In this talk, I will tell the story of my adventures as a researcher in the growing field of statistical ecology, describing some of the methods I have developed and how they are being used to understand animal populations around the world.

Ben Stevenson

Ben is a lecturer at the University of Auckland. Prior to joining the Department of Statistics in 2017, Ben completed a PhD and worked as a research fellow at the Centre for Research into Ecological and Environmental Modelling at the University of St Andrews, UK. He develops statistical methods and software to estimate ecological parameters of interest, usually animal abundance or density. His recent work has met statistical challenges that arise when instruments like microphones, video-cameras, and drones are deployed to detect animals on wildlife surveys.

The post Adventures in Statistical Ecology appeared first on ��Ӱֱ��.

Wrangling Statistics Assesssments – Lucy Edmonds

Anne Patel — Tue, 03 Mar 2020 20:34:01 +0000

Writing, crafting, critiquing, developing, moderating or what comes down to wrangling Statistics assessments is often a daunting task, with many teachers opting to re-use the same assessments, contexts and data sets repeatedly – The Australian sports data set and zygomatic widths of Maui dolphin rostrums ring any bells?

Lucy Edmonds & Heral Patel from Green Bay High School, covered their process of writing both internals and E-O-Y school assessments, from choosing interesting and engaging contexts, to developing an assessment at different levels of understanding. Lucy and Heral are reasonably confident they’ve already made every mistake possible when writing, moderating and administering assessments – and shared a system of writing assessments which make them interesting to both us and the students (acknowledgements to Sue Spencer, Epsom Girls’ Grammar School).

Resources

The post Wrangling Statistics Assesssments – Lucy Edmonds appeared first on ��Ӱֱ��.

Data explorations – Emma Wilson

Anne Patel — Mon, 13 Jan 2020 04:19:25 +0000

Statistics is supposed to be fun! It can be easy to forget this when we get caught up in the pressures of assessment. Exploring data and uncovering the stories is Emma Wilson’s (University of Auckland) favourite part of statistics. Emma’s workshop unpacked exploratory data analysis, its importance in statistics education and how to run exploratory activities in the classroom.

A journey through data!

Note: many of the icons are actually links as you go through the slide show

The post Data explorations – Emma Wilson appeared first on ��Ӱֱ��.

CL8 sample-to-population inference: Bootstrapping

Anne Patel — Thu, 09 Jan 2020 21:31:14 +0000

We all know that New Zealand has an envied, innovative and future focused Statistics curriculum. As we embrace the curriculum at its highest level, ideas allow us to make population inferences from samples that are more formal. There are many great activities and resources that build on the ideas of sampling variation from Level 6 and 7. Mark Hooper’s (Otago Boys’ High School) peer reviewed journal article is a must read for teachers embarking on teaching bootstrapping techniques.

The practical workshop used both unplugged and web-based tools. Michelle’s presentation showcased some visual-based and tactile activities from the bootstrapping re-sampling process to confidence intervals.

��ǳܰ��:�� is my [Michelle’s] powerpoint, and is a folder of resources from an earlier workshop. This earlier workshop also covered re-randomisation so there are doozers, pugs and some extra things in there too!

�Ѿ��’��

The post CL8 sample-to-population inference: Bootstrapping appeared first on ��Ӱֱ��.

Grappling with authenticity

Anne Patel — Thu, 09 Jan 2020 20:33:26 +0000

There is a long-standing problem with assessing authenticity in student reports for internal NCEA statistics standards, but the extent of the problem is still unknown. Dr Marion Steel (Epsom Girls Grammar School) shared her departments experience in getting to grips with authenticity in a large year 13 statistics programme, considering ethics, technology, and practicalities.

This was a chance for statistics teachers to discuss issues and share solutions.

The post Grappling with authenticity appeared first on ��Ӱֱ��.

Working with Data in Elite Sport

Anne Patel — Thu, 09 Jan 2020 03:03:26 +0000

Dr Jacquie Tran’s (High Performance Sport New Zealand) workshop was about how science and data analytics is used to support and enhance athlete, team, and coach performance in elite sport. Jacquie also shared ideas for exploring sports data that you could use with your students.

The post Working with Data in Elite Sport appeared first on ��Ӱֱ��.

Data Science for Everyone: Picture Imperfect

Anne Patel — Thu, 09 Jan 2020 02:45:26 +0000

Data science is all about integrating statistical and computational thinking with data. Anna Fergusson’s (University of Auckland) hands-on workshop explored one of the learning tasks she designed to introduce students to the exciting world of image data, machine learning and algorithms. Participants use familiar statistics tools and approaches, such as data cards and collaborative group tasks and also try out some new computational tools for learning from data. Statistical concepts covered include features of data distributions, exploratory data analysis and predictive modelling.

The post Data Science for Everyone: Picture Imperfect appeared first on ��Ӱֱ��.