See the
live dashboard
for CensusAtSchool 2023-2024
Search
Menu
Take Part
Close Search
Search this site
Search
Submit
Close Menu
About
Media
Privacy
Data
Resources
News
Contact
Search
Take part
Add your resource
Your name
*
Your email
*
Title
*
Description
*
Associated standards
*
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
Probability
Time series
Bivariate
Statistical Investigation Process
Statistical literacy
Comparisons
Experiments
iNZight
Sampling variability
Data
Box plots
Bootstrapping
Distribution Shape
Experimental design
Experimental Probability
Probability distributions
Population
Dot Plots
Randomisation test
Prediction
PPDAC
Relationship
Scatterplots
Sample
Correlation
Theoretical Probability
Regression
Trend
Survey
Five Number Summary
Assessment
Margin of Error
Sample size
Risk
Report writing
Sampling
Distributions
Context
Variation
Simulation
Multivariate
Internal assessment
Confidence Intervals
Data Cards
Designing survey questions
Data sets
Scatterplot
Conditional probability
Formal Inference
Infographics
Sampling distributions
Seasonal Effects
Cross curricular
Mean
Polls
Statistics Education
Questionnaires
Median
Careers
Smoothing
Binomial
Forecasting
Variability
Histograms
Cleaning data
Curriculum
Bar graphs
NZSA
Randomised experiments
Statistical insight
Research
Randomness
True Probability
Causation
Sampling error
Sampling methods
Independence
Interpreting displays
Probability modelling
Posing investigative questions
Spread
Poisson
Model estimate
Data display
Non-sampling errors
Informal Confidence Interval
Chance
Outlier
Census
two way tables
Venn Diagrams
Resources
CODAP
Observational study
Multivariate tables
rule of thumb
Measurement data
coding
Investigation
Big data
Statistics project
worry questions
Measurement error
Lesson plans
Technology
Shape
Bias
Model
sample variation
Categorical data
Distribution
Central tendency
Data science
Statistical reasoning
Digital technology
Central Limit Theorem
R code
Association
Forecast
Professional development
Experiements
Triangular
Data literacy
Year 9
Level 1 NCEA
Games of chance
Statistical Investigation
Chance distributions
Facts
I wonder...
visualising data
I notice
Modeling
Randomisation variation
Graphical displays
Representing data
Zoom in
Scholarship
Reports
Year 10
Data scrapping
Descriptive
Causality
Probability tree
Difference of two means
Overview
parameters
Expected values
Data collection
Inquiry learning
iNZight Lite
Quantitative data
Learning experiences
sample statistic
Discrete random variables
Normal Distribution
te Reo Māori
SOLO
Probability language
Poisson distribution
FAO Statistical Yearbook
Sociolinguistic
Press release
Noise
Visual essays
Generalization
heuristics
Representative
Random sample
e
Fibonacci
Concord Consortium
Euler's number
Model Eliciting Activity
MEA
Follow Up Tasks
FUT
Dollar Street
video
Graphs
Reliable
Pascal's Triangle
Significant
Approximations
t-test
interactive
Scampy
characteristics
Gender
Sex
EDC
Science
Physical graphs
Stem & leaf
Conclusions
Sorting
Classifying
Organising
IASE
Vocational pathways
collecting data
Data education in schools
Scotland
Statiistical literacy
critical questions
Datasets
Investigations
conditions
Variation theory
Task design
IQR
Making a call
Resampling
Interpreting CI
Goobric
Doctopus
Google classroom
Games
COVID-19
Pandemics
Interactive data
Online learning
Parameter
Multiple representations
Webinar
Signal
US
Engagement
Long run relative frequency
Classroom discourse
strategy
Achievement Objectives
NZC
91584
3.12
writing frame
Experimental units
Treatment
Response
Scheme
symmetrical
CPI
trial
Uncertainty
key competencies
No Textbook learning
Visualising distributions
Probsim
Assumptions
rule or thumb
Pachinkogram
Linear
Eikosogram
Formal report writing
Continuous data
Uniform
Skew
relative frequency
Relative risk
misleading graphs
residual
Ethics
Line of best fit
Linear relationship
Sphero robots
Literacy
University
Personalised learning
Mutually Exclusive
Statistical thinking
Ratios
Level 2 NCEA
Welsh Baccalaureate
data analysis
critical thinking
primary data
Misconceptions
If your not having fun
you're not doing it right!
FAQ
Data representation
dependent
OSEM
box plot
Plan
interquartile range
Unimodal
Bimodal
Shift
Selection bias
Artefacts
Random error
Univariate
Monty Hall problem
1.10
Standard
Level 1
Sourcing data
Average
spinner
Attached files
Drop files here or
Select files
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