Resources by Emma Mawby - Ӱֱ Tue, 02 Jul 2024 21:21:37 +0000 en-US hourly 1 Statistical Reports from around the Pacific – Emma Mawby (Statistics NZ) /resource/statistical-reports-from-around-the-pacific-emma-mawby-statistics-nz/ Tue, 03 Jan 2017 06:29:01 +0000 http://new.censusatschool.org.nz/?post_type=resource&p=8142 Emma Mawby is a Senior Analyst in the Statistical Education team at Statistics New Zealand. She has worked a teacher of Mathematics and Statistics in the UK and New Zealand. She has also delivered Statistics courses to adult learners in the Pacific. Emma’s workshop looked at where can data take you. This workshop looked at […]

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Emma Mawby is a Senior Analyst in the Statistical Education team at Statistics New Zealand.
She has worked a teacher of Mathematics and Statistics in the UK and New Zealand. She has also delivered Statistics courses to adult learners in the Pacific. Emma’s workshop looked at where can data take you.

This workshop looked at statistically based reports from around the Pacific. It includes activities which meet some of the requirements of the “Statistical Literacy” part of the curriculum at Level 4 and beyond. The aim of these activities is to encourage students to evaluate statistically based reports whilst developing skills of justification and insight.

The resources used in the workshop are adapted from material prepared and delivered by Statistics New Zealand for learners in Samoa, Fiji and Cook Islands, who were asked to demonstrate Statistical Literacy in their second language.

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Describing Trends – Statistics New Zealand /resource/time-series-modelling/ Thu, 08 Oct 2015 20:30:50 +0000 http://new.censusatschool.org.nz/?post_type=resource&p=6520 Aimed to develop statistical modelling with time series data and provides data sets and material to explore the Level 3 Investigate Time Series data standard.

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Eight monthly and quarterly time series datasets have been collected from Statistics New Zealand and have been customised in “Infoshare” to CSV files appropriate/adequate for iNZight. Seven are multiplicative and one is additive.

For each dataset the total data for the variables being analysed have been added. Model paragraphs as to how a professional statistician would describe the trend, seasonal, and remainder of the variables being compared have been added. There is also a paragraph that highlights comparisons and differences between the variables being analysed and the total data.

At the beginning of each time series resource the “Total” data for the variables that are being analysed have been included with no commentary. It has been used to see whether the variables that have been analysed have had an effect on the total. In addition, this enables users to provide their own commentaries about the “Total” data to test their knowledge.

At the end of each time series resource a set of notes on how to obtain the particular dataset from the Statistics New Zealand website as well as how to import and analyse the data in iNZight has been added. Also, for some of the time series datasets, a “useful links” section in the metadata is included whereby references have been used that have been used in model answers.

Download the resource

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