'Statistical enquiry cycle' presentation slideshows

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Literacy and thinking bivariate data investigations

Literacy and thinking bivariate data investigations. Anna Martin Avondale College. Literacy and thinking. Thinking about data Thinking about relationships Thinkin g about sources of variation Communicating understanding Improving literacy. Thinking behind unit.

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Conducting and assessing experiments for 3.11

Conducting and assessing experiments for 3.11. Anna Martin Avondale College. Focus for workshop. Informed contextual knowledge Experimental design principles Exploratory data analysis Reporting experiments Assessing experiments. Informed contextual knowledge. Informed contextual knowledge.

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Experiments

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Statistical Thinking

Statistical Thinking. Julia Horring & Pip Arnold TEAM Solutions University of Auckland. Research Project. Maxine Pfannkuch Department of Statistics The University of Auckland Statistical Thinking in preparation for NCEA 1.5 Statistics Internal.

441 views • 28 slides

1.11 Bivariate Data

1.11 Bivariate Data. Credits 3 As91036. Achieved, Merit or Excellence. Achievement You need to use investigate bivariate numerical data using the statistical enquiry cycle. (See Statistics revision ). Numerical data:

532 views • 21 slides

The Statistical Enquiry Cycle Step 4: Analysis Analysing Features

The Statistical Enquiry Cycle Step 4: Analysis Analysing Features. Lesson Objective. To learn how to analyse box and dot plots in a statistical manner. Lesson Success Criteria.

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Multivariate Data

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Overview of school

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Set of four workshops

CENTRE FOR EDUCATIONAL DEVELOPMENT Developing practice around the realigned Mathematics and Statistics standards Workshop 2: Statistical inquiry Alison Fagan and Anne Lawrence Advisers in Secondary Numeracy & Mathematics. Set of four workshops. Workshop 1: Achievement standard 1.1

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Statistics Time Series

Statistics Time Series. PPDAC. What the mark scheme says. Achieved The student has investigated time series data. They have shown evidence of using each component of the statistical enquiry cycle to do this. Merit

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