presents important data contexts and technology to expose students to the idea of variation all around them and how students can learn from examining and representing variation.

webinar deal with what teachers need to know about how students perceive data in distributions. Distribution is a meta-concept! The variation seen in distributions is key to making statistical inferences from data.

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She is a 2014-15 聽and is spending five months at the University of Auckland, New Zealand working with statistics educators on the project, 鈥淚mplementing K-12 Statistics Standards: Comparing Practices in New Zealand and the United States鈥�.

Below is an audio recording of her presentation to the Wellington Mathematics Association, May 2015:

Abstract: The United States is realizing the need to achieve a level of quantitative literacy for its high school graduates to prepare them to thrive in the modern world. Given the prevalence of statistics in the media and workplace, individuals who aspire to a wide range of positions and careers require a certain level of statistical literacy. Because of the emphasis on data and statistical understanding, it is crucial for us as educators to consider how we can prepare a statistically literate population. Students must acquire an adequate level of statistical literacy through their education beginning in the first grade of education. The Common Core State Standards for mathematics (that include statistics) in grades Kindergarten 鈥� 12 have been adopted by the most states and the District of Columbia. These national standards for the teaching of statistics and probability range from counting the number in each category to determining statistical significance through the use of simulation and randomization tests. This presentation will provide a brief history of statistics at K-12 in the U.S., an overview of the statistics and probability content of these common core standards, resources that support the K-12 standards in statistics, describe the knowledge and preparation needed by the future and current K鈥�12 teachers who will be teaching using these standards, and the desired assessment of statistics at K-12 on the high stakes national tests will be explored.

Chris is the Lothar Tresp Honoratus Honors Professor and Undergraduate Coordinator in Statistics at the University of Georgia and a Fellow of the American Statistical Association. She has been recognized with numerous teaching and advising awards at UGA. She is the co-author of an Introductory Statistics textbook with Alan Agresti (Pearson 2012), co-author of the textbook Statistics Reasoning in Sports with Josh Tabor (Freeman 2012) and has published more than 50 journal articles. Chris was the lead writer for the American Statistical Association Pre-K-12 Guidelines for the Assessment and Instruction in Statistics Education (GAISE) Framework. She chaired the writing team of the recent ASA Statistical Education of Teachers (SET) report.

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Michelle has looked at how ‘big data’ is influencing decision making, and other important aspects of society your students are participating in.

Her presentation for the Canterbury Mathematics Association may stimulate discussion about careers in Statistics or studying Statistics at University level for your senior students.

Understanding big data

A link to the Radio New Zealand National series on is also included here. There are several podcasts that could be used as discussion starters.

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Lucy Edmonds, EGGS Formal Inference

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Stephanie clearly explains why proportional reasoning with small numbers can be a 聽challenge! This is a must read if you are teaching Probability concepts.

• PowerPoint slides

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