Scholarship Statistics candidates are expected to demonstrate high-level critical thinking, abstraction and generalisation, and to integrate, synthesise and apply knowledge, skills, understanding and ideas to complex situations.
The student will use knowledge of statistics to apply statistical and probability concepts and methods to complex problems in contexts which may be unfamiliar, interpret and, where appropriate, make inferences and clearly communicate concepts and findings.
Applying and interpreting statistical and probability concepts and methods may involve:
- exploring data
- drawing on informed contextual knowledge
- making inferences
- dealing with sources and consequences of uncertainty
- applying appropriate models
- stating and evaluating assumptions of models used
- explaining conceptions and processes (e.g. simulation-based processes)
- critiquing based on the Problem-Plan-Data-Analysis-Conclusion (PPDAC) cycle
- offering competing explanations and important follow-up questions
- evaluating statistically based and / or probabilistically based reports
* from the NZQA Statistics Performance Standard
Scholarship Statistics Specifications and Guides
- NZQA Scholarship Awards
- Statistics Assessment Specification and Examinations 2013 – 2004
- Statistics Scholarship Performance Standard Dec 12
- Sample Resources
- Some personal comments on the NZ Scholarship Statistics Sample Examination
Resources for teaching and learning
Key Resources
- Developing statistical thinking in our Statistics scholarship students
- Higher level communication for Scholarship and Excellence - Dr Nic (SLC)
- Video: Comparing Series [ 4 min]
Teacher Preparation
- The Joy of data analysis and critical thinking - a Welsh perspective
- Higher level communication for Scholarship and Excellence - Dr Nic (SLC)
- 2016 Panel discussion on Scholarship Statistics
- 2015 Scholarship Statistics discussion group
- Video: Comparing Series [ 4 min]
Classroom Activities
- Developing statistical thinking in our Statistics scholarship students
- Data explorations - Emma Wilson
- Working with data in elite sport - Dr Jacquie Tran
- Data science for everyone: Picture imperfect - Anna Fergusson
- Level 1 through to Scholarship Stats - Liz Sneddon
- Classic problems in Probability
- AllTrials Project - Issues in health and medicine
- Natural Resource Accounts
- Podcasts: Statistical thinking and reasoning.
