Add your resource

Your name*

Your email*

Title*

Description*

Associated standards*

Keywords

Attached files

Drop files here or

Accepted file types: pdf, doc, docx, xls, xlsx, ppt, pptx, jpg, jpeg, png, gif, txt, csv, Max. file size: 10 MB.

Agreement*

I am the author of the materials being uploaded and give permission to publish this resource on CensusAtSchool’s website for the purposes of education while retaining possession of my own intellectual property.

CAPTCHA

Search this site

CensusAtSchool New Zealand is supported by:

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

Inference
Probability
Time series
Bivariate
Comparisons
Statistical literacy
Statistical Investigation Process
Experiments
iNZight
Data
Sampling variability
Box plots
Bootstrapping
Distribution Shape
Experimental Probability
Experimental design
Probability distributions
Population
Dot Plots
Randomisation test
Prediction
PPDAC
Relationship
Scatterplots
Sample
Assessment
Regression
Correlation
Five Number Summary
Survey
Theoretical Probability
Trend
Margin of Error
Sample size
Risk
Simulation
Report writing
Sampling
Variation
Distributions
Context
Multivariate
Infographics
Internal assessment
Confidence Intervals
Data Cards
Designing survey questions
Formal Inference
Scatterplot
Seasonal Effects
Sampling distributions
Data sets
Conditional probability
Statistics Education
Questionnaires
Polls
Median
Mean
Smoothing
Careers
Cross curricular
NZSA
Curriculum
Forecasting
Variability
Cleaning data
Histograms
Bar graphs
Binomial
Independence
Probability modelling
True Probability
Randomness
Statistical insight
Sampling error
Sampling methods
Posing investigative questions
Interpreting displays
Causation
Randomised experiments
Spread
Poisson
Model estimate
Informal Confidence Interval
two way tables
Non-sampling errors
Venn Diagrams
CODAP
Outlier
Multivariate tables
Observational study
Research
Chance
Data display
Bias
Census
Measurement data
worry questions
Lesson plans
Technology
Statistics project
Big data
sample variation
Categorical data
Resources
Investigation
Model
Distribution
Digital technology
Probability tree
Data science
Statistical reasoning
Shape
rule of thumb
Central tendency
coding
Measurement error
R code
Statistical Investigation
Forecast
Facts
Level 1 NCEA
Zoom in
Central Limit Theorem
Representing data
Triangular
Experiements
Randomisation variation
visualising data
Reports
Scholarship
Modeling
Year 10
I notice
Year 9
Games of chance
I wonder...
Chance distributions
Graphical displays
Data scrapping
Association
Causality
Difference of two means
Descriptive
iNZight Lite
Overview
Inquiry learning
Data collection
parameters
Normal Distribution
Quantitative data
sample statistic
Learning experiences
Expected values
Discrete random variables
Sociolinguistic
Model Eliciting Activity
Random sample
t-test
Generalization
FAO Statistical Yearbook
heuristics
Representative
Probability language
Visual essays
Press release
Poisson distribution
te Reo Māori
Concord Consortium
spinner
Signal
Noise
SOLO
Fibonacci
Approximations
Pascal's Triangle
e
Euler's number
MEA
Follow Up Tasks
FUT
Dollar Street
video
Reliable
Significant
FAQ
Stem & leaf
Parameter
Multiple representations
Investigations
Datasets
Gender
Sex
EDC
Science
Physical graphs
Conclusions
Sorting
Classifying
Organising
Vocational pathways
collecting data
Data education in schools
Scotland
Online learning
Interactive data
If your not having fun
interactive
Scampy
characteristics
conditions
Variation theory
Task design
IQR
Making a call
Resampling
Interpreting CI
Goobric
Doctopus
Google classroom
Games
COVID-19
Pandemics
Data literacy
Visualising distributions
key competencies
Uncertainty
Engagement
Long run relative frequency
Classroom discourse
strategy
Achievement Objectives
NZC
91584
3.12
Plan
Experimental units
Treatment
Response
writing frame
Scheme
No Textbook learning
Ethics
Probsim
Assumptions
rule or thumb
Pachinkogram
Eikosogram
Linear
Formal report writing
Continuous data
residual
Uniform
Skew
relative frequency
Relative risk
misleading graphs
Professional development
US
CPI
trial
Line of best fit
dependent
Data representation
Sphero robots
Literacy
University
Personalised learning
Mutually Exclusive
Statistical thinking
Ratios
Level 2 NCEA
Welsh Baccalaureate
data analysis
critical thinking
primary data
Sourcing data
Misconceptions
OSEM
Graphs
Linear relationship
box plot
symmetrical
interquartile range
Unimodal
Bimodal
Shift
Selection bias
Artefacts
Random error
Univariate
Monty Hall problem
1.10
Standard
Level 1
Average
you're not doing it right!