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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
Population
Distribution Shape
Dot Plots
Experimental design
Randomisation test
Prediction
Sample
Relationship
Experimental Probability
Scatterplots
PPDAC
Correlation
Regression
Five Number Summary
Risk
Simulation
Trend
Margin of Error
Sample size
Survey
Theoretical Probability
Sampling
Designing survey questions
Report writing
Assessment
Data Cards
Questionnaires
Confidence Intervals
Scatterplot
Sampling distributions
Polls
Multivariate
Probability distributions
Seasonal Effects
Smoothing
Bar graphs
Distributions
Mean
Median
Statistics Education
Infographics
Formal Inference
Conditional probability
Histograms
Sampling error
Sampling methods
Variation
Poisson
Context
Independence
Statistical insight
Forecasting
Multivariate tables
Non-sampling errors
Variability
Cleaning data
Interpreting displays
Probability tree
Causation
Probability distsributions
Binomial
Venn Diagrams
True Probability
Model estimate
Data display
Investigation
Categorical data
Spread
Posing investigative questions
Outlier
Curriculum
Research
Census
Careers
Informal Confidence Interval
Data sets
Cross curricular
NZSA
Quantitative data
Measurement data
Bias
Descriptive
Difference of two means
Observational study
Expected values
Discrete random variables
Normal Distribution
Shape
Inquiry learning
parameters
worry questions
Overview
Causality
Internal assessment
Learning experiences
Probability modelling
sample variation
Central Limit Theorem
Association
Forecast
two way tables
Triangular
Statistics project
Stem & leaf
Random sample
Representative
Generalization
Data collection
t-test
Significant
Reliable
Measurement error
Ratios
iNZight Lite
Mutually Exclusive
dependent
Monty Hall problem
Univariate
Central tendency
symmetrical
Scheme
writing frame
Plan
strategy
Long run relative frequency
Uncertainty
Big data
Ethics
residual
Continuous data
sample statistic
Formal report writing
Eikosogram
Pachinkogram
Resources
Examinations
US
Randomness
Visualising distributions
Probsim
Assumptions
rule or thumb
Linear
Uniform
Skew
relative frequency
Relative risk
misleading graphs
Professional development
Experiements
No Textbook learning
key competencies
Technology
Engagement
Lesson plans
Classroom discourse
Year 9
Year 10
Scholarship
Achievement Objectives
NZC
91584
3.12
Reports
Experimental units
Treatment
Response
Model
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