Statistical Surprises and Stories Louise Addison 27th November / Key Ideas in Statistics and Mathematics (from Senior Secondary Guides) Unlock stories Uncover stories Tell stories using models, abstractions and in which variation is omnipresent using evidence and reasoning representations Topic Resources Variation Surprise / Time Series Baby names A, B, C, Research How does this data vary Don’t start Summary 1 /2 over time? with ‘model’ Written response Trend example Time Series Report Writing Seasonal / cyclical Bivariate Learning from exemplar (AIS Data set) How do these data sets Attendance Data Inzight instructions vary in relation to each Diamonds Bivariate Report Writing other? AIS Heptathlon Inference Intro Variation within a group Perception of Bootstrapping By chance alone graphs / Inference Report Writing Sample variability difference Sampling variation Simultaneous Play doh creations Types of solutions Makes 15 equations (deterministic models…) internal credits Probability Alcohol testing drunk drivers Experimental / Risk / Probability summary Theoretical / True Absolute / See think do check Relative Estimating means and standard deviations Random variables / variation Probability One page summaries How much variation is What do we Distributions geogebra too much? expect? Distributions experimental and theoretical​ Model and life’ ‘real All black scenarios Revision Post its Every one… Key ideas Data Visualisation
Statistical Surprises and Stories Louise Addison 27th November / Key Ideas in Statistics and Mathematics (from Senior Secondary Guides) Uncover stories in which variation is omnipresent Unlock stories using models, abstractions and representations Tell stories using evidence and reasoning Topic Resources Variation Surprise / Time Series Baby names A, B, C, Research Summary 1 /2 Written response Time Series Report Writing How does this data vary over time? Trend Seasonal / cyclical Don’t start with ‘model’ example Bivariate Data Learning from exemplar (AIS Data set) Inzight instructions Bivariate Report Writing How do these data sets vary in relation to each other? Attendance Diamonds AIS Heptathlon Inference Intro Bootstrapping Inference Report Writing Variation within a group By chance alone Sample variability Sampling variation Perception of graphs / difference Simultaneous equations Play doh creations Types of solutions (deterministic models…) Makes 15 internal credits Probability Alcohol testing drunk drivers Probability summary See think do check Estimating means and standard deviations Experimental / Theoretical / True Random variables / variation Risk / Absolute / Relative Probability Distributions One page summaries geogebra Distributions experimental and theoretical​ All black scenarios How much variation is too much? Model and ‘real life’ What do we expect? Revision Post its Every one… Key ideas Data Visualisation
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