Michelle and Grant looked at junior probability in high school and how important it is to build probability foundations for future success. Teachers trialed activities that start conversations about randomness, chance, unpredictability and risk.

Many of the ideas here could be adapted for year 7 & 8 students, especially the probability activities from slide 24 and vocabulary from slide 9.

Resources

• (聽makes it look better!)

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These activities use the kiwi data and sampling technology (Anna Fergusson’s Sampler and iNZight).

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The practical workshop聽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.

搁别蝉辞耻谤肠别蝉:听 is my [Michelle’s] powerpoint, and 聽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!

惭颈肠丑别濒濒别’蝉听

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Participants had an opportunity to meet the almost-famous Distribution Plushies!

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Resources: Workshop powerpoint is . Please note marshmallows were used in this workshop 鈥� always give a health and safety briefing with marshmallows (and other edibles).

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Abstract: Most Level 3 Statistics courses cover some work on both sample-to-population inferences and experimental-to-causal inferences. 聽Students often find it difficult and confusing when they need to distinguish between the two. 聽The aim of the workshop was to clarify the differences between the two inference types. 聽Teachers worked through the key teaching activities for developing students鈥� understanding of both the bootstrapping and randomisation analysis tools.

搁别蝉辞耻谤肠别蝉:听All Michelle’s inference workshop resources are in a folder , including her . The folder contains both Doozer (first developed for Cognition workshop series) and Pugs files needed for developing students understanding of bootstrapping. Also included are the High-jumping-dogs files for developing students understanding of re-randomisation techniques. This workshop is essentially a 鈥渟peed鈥� version of the initial roll-out workshops presented nationally back in 2011/2012 using different data sets.

Online learning (during lockdown or otherwise) Michelle has made these online , including video’s to assist students stuck at home through the inference standard.

Find out more about Michelle’s work at her .

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Resources: Our workshop powerpoint is聽

Michele also writes a all about teaching Statistics.

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This document may be a starting point to discuss what is happening in your department to support teachers new to Statistics.

New_teachers_panel slideshow

Jason Ellwood (chair) (Otumoetai College)
Michelle Dalrymple (Cashmere High School)
Lars Thomsen (Christ鈥檚 College)
Marion Steel (Epsom Girls Grammar School)

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The progression usually begins in , (NZC Level 5) and is followed by the standards: Level 1 Explore data 91944, Level 2 Inference 91264, Level 3 91582.

This resource is helpful for all statistics teachers, to help with “getting it right”, especially new teachers or those new to teaching statistical inference through sampling. Please share this resource with your colleagues.

聽Part 1 Background on sampling variation

– Teaching knowledge

Let Michelle know if you find it helpful, ask for clarification, play spot the errors etc.

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