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Box Office Dataset
Santa Barbara Coastal Dataset
Teaching Statistical Report writing
Understanding Confidence Intervals
New Zealand Crash Statistics Internal Assessment (NZQA)
3.9B Sub-species (NZQA)
3.9A Sport Science exemplar (NZQA)
Data sets for bivariate investigations
Getting started on VIT modules in iNZight VIT
CensusAtSchool 2007 data subset (15,000 rows)
CensusAtSchool 2009 data subset (15,000 rows)
Significance Magazine
15 Time Series Datasets (2012)
Time Series Datasets (2013)
McDonald’s food nutritional study
NZ Incomes 2003 SURF
Star Trek Inference Tour
Statistics Education 21st Century NZ – Presentation with resources
Apply probability distributions in solving problems – Marion Steel
Apply probability concepts in solving problems – Marion Steele
Margin of Error and testing claims in the media – Dru Rose
Non-Sampling Errors as they Apply to Polls & Surveys and Experiments & Observational Studies
A guide to the randomisation test
Conducting and assessing experiments for 3.11
A guide to Bootstrapping
Sample to population inference – Michelle Dalrymple
Investigating bivariate measurement data using iNZight
Changing Needs in a Changing World
Food Spending
Time Series Analysis using iNZight
Teacher’s Guide to Holt Winters analysis
Polar Ice Time Series Analysis
Introduction to inference (bootstrapping)
Expected value and standard deviation of discrete random variables
Calculating probabilities of independent, combined and conditional events
Margin of Error