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Associated standards
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Level 1
Level 2
Level 3
Level 4
Level 5
1.10 Investigate a given multivariate data set using the statistical enquiry cycle
1.11 Investigate bivariate numerical data using the statistical enquiry cycle
1.12 Demonstrate understanding of chance and data
1.13 Investigate a situation involving elements of chance
2.8 Design a questionnaire
2.9 Use statistical methods to make an inference
2.10 Conduct an experiment to investigate a situation using statistical methods
2.11 Evaluate a statistically based report
2.12 Apply probability methods in solving problems
2.13 Investigate a situation involving elements of chance using a simulation
3.8 Investigate time series data
3.9 Investigate bivariate measurement data
3.10 Use statistical methods to make a formal inference
3.11 Conduct an experiment to investigate a situation using experimental design principles
3.12 Evaluate statistically based reports
3.13 Apply probability concepts in solving problems
3.14 Apply probability distributions in solving problems
Scholarship
Keywords
Inference
Time series
Bivariate
Probability
Statistical Investigation Process
Comparisons
Statistical literacy
iNZight
Experiments
Box plots
Sampling variability
Data
Bootstrapping
Distribution Shape
Population
Dot Plots
Experimental design
Randomisation test
Prediction
Experimental Probability
Relationship
Sample
PPDAC
Scatterplots
Five Number Summary
Correlation
Regression
Margin of Error
Risk
Simulation
Report writing
Trend
Sample size
Theoretical Probability
Survey
Sampling
Assessment
Data Cards
Confidence Intervals
Scatterplot
Designing survey questions
Variation
Multivariate
Infographics
Probability distributions
Questionnaires
Distributions
Mean
Median
Sampling distributions
Polls
Statistics Education
Seasonal Effects
Smoothing
Bar graphs
Histograms
Variability
Formal Inference
Conditional probability
Sampling error
Sampling methods
Spread
Interpreting displays
Causation
Poisson
Context
Independence
Statistical insight
Forecasting
Probability modelling
Multivariate tables
Non-sampling errors
Cleaning data
Outlier
Probability tree
Probability distsributions
Binomial
Curriculum
Venn Diagrams
True Probability
Model estimate
Data display
Careers
Cross curricular
Investigation
Categorical data
Posing investigative questions
Bias
Observational study
Research
Central tendency
Census
Data sets
NZSA
Randomness
sample variation
Statistics project
Randomised experiments
Quantitative data
Measurement data
Descriptive
Difference of two means
Expected values
Discrete random variables
Normal Distribution
Measurement error
Shape
Inquiry learning
parameters
Informal Confidence Interval
worry questions
Overview
Big data
Causality
Internal assessment
Learning experiences
Central Limit Theorem
Association
Forecast
two way tables
Triangular
Technology
Year 9
Year 10
Model
Randomisation variation
coding
Modeling
Stem & leaf
Random sample
Representative
Generalization
Data collection
t-test
Significant
Reliable
Ratios
iNZight Lite
Mutually Exclusive
dependent
Monty Hall problem
Univariate
symmetrical
Scheme
writing frame
Plan
strategy
Long run relative frequency
Uncertainty
Ethics
residual
Continuous data
sample statistic
Formal report writing
Eikosogram
Pachinkogram
Resources
Examinations
US
Visualising distributions
Probsim
Assumptions
rule or thumb
Linear
Uniform
Skew
relative frequency
Relative risk
misleading graphs
Professional development
Experiements
No Textbook learning
key competencies
Engagement
Lesson plans
Classroom discourse
Scholarship
Achievement Objectives
NZC
91584
3.12
Reports
Experimental units
Treatment
Response
CPI
trial
Line of best fit
Linear relationship
box plot
interquartile range
Unimodal
Bimodal
Shift
Selection bias
Artefacts
Random error
Chance
1.10
Standard
Level 1
Sourcing data
Average
Graphs
OSEM
I notice
I wonder...
Sphero robots
Literacy
University
Personalised learning
Statistical Investigation
Statistical reasoning
Statistical thinking
Level 1 NCEA
Level 2 NCEA
Welsh Baccalaureate
data analysis
critical thinking
primary data
Data scrapping
R code
Misconceptions
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