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What is Junior Statistics about?
What is Junior Statistics about?
The Junior Statistics topic is all about giving young people a set of maths and logic skills so they can solve real world problems.
By the end of the Statistics topic, students should know how to:
By the end of the Statistics topic, students should know how to:
pose summary and comparison investigative questions about populations, and investigative questions for time-series and relationship data and for experiments
plan to collect data for observational studies and experiments, including selecting valid and reliable measurements for variables or sourcing existing datasets
recategorise variables if needed, and use multiple representations to analyse and visualise data
communicate findings using evidence from analysis, provide possible explanations for findings, and reflect on predictions or assertions
critique the findings and claims of others by interrogating all phases of the statistical enquiry cycle.
use ethical and responsible data practices when designing and conducting studies, storing and transferring data, and evaluating studies
determine whether a random sample, an experiment, a secondary data source, or another approach is most suitable for answering an investigative question
design and implement a simple randomised experiment to compare two groups
create, manipulate, and merge data from a variety of sources manually and using statistical software, creating a range of relevant data visualisations for it
The following page covers each of these skills.
Posing Questions
Posing Questions
Students should know how to pose summary and comparison investigative questions about populations, and investigative questions for time-series and relationship data and for experiments.
To learn to do this, watch these videos here.
Posing Multivariate Questions
Posing Statistical Questions
Statistical and Non-Statistical Questions
Collecting Data
Collecting Data
Students should know how to plan to collect data for observational studies and experiments.
To learn to do this, watch this video here.
Reliable Measurements
Reliable Measurements
Students should know how to select valid and reliable measurements for variables or sourcing existing datasets.
To learn to do this, watch this video here.
Recategorise Variables
Recategorise Variables
Students should know how to recategorise variables if needed.
To learn to do this, watch this video here.
Representations of Data
Representations of Data
Students should know how to use multiple representations to analyse and visualise data.
To learn to do this, watch these videos here.
Ways to represent data
Understanding statistical graphs
Communicating and Explaining Findings
Communicating and Explaining Findings
Students should know how to communicate findings using evidence from analysis and provide possible explanations for findings.
To learn to do this, watch this video here.
Reflecting on Predictions
Reflecting on Predictions
Students should know how to reflect on predictions or assertions.
To learn to do this, watch these videos here.
Reading and Predicting Graphs
When Predictions Succeed
PPDAC
PPDAC
Students should know how all phases of the statistical enquiry cycle.
To learn to do this, take a look at this poster here.
The phases of the cycle are:
Problem
Plan
Data
Analysis
Conclusion
Critiquing PPDAC
Critiquing PPDAC
Students should know how to critique the findings and claims of others by interrogating all phases of the statistical enquiry cycle.
To learn to do this, watch these videos here.
Statistical Enquiry Cycle - PPDAC
Critiquing A Study
Ethical Experiments
Ethical Experiments
Students should know how to use ethical and responsible data practices when designing and conducting studies, storing and transferring data, and evaluating studies.
To learn to do this, watch this video here.
Picking The Approach
Picking The Approach
Students should know how to determine whether a random sample, an experiment, a secondary data source, or another approach is most suitable for answering an investigative question.
To learn to do this, watch these videos here.
Which Test To Use?
Simple Hypothesis Testing
Designing a Randomised Control Trial (RCT)
Designing a Randomised Control Trial (RCT)
Students should know how to design and implement a simple randomised experiment to compare two groups.
To learn to do this, watch these videos here.
Designing a Statistical Test
Designing a Randomised Control Trial (RCT)
Using NZ Grapher
Using NZ Grapher
Students should know how to create, manipulate, and merge data from a variety of sources manually and using statistical software, creating a range of relevant data visualisations for it.
To learn to do this using NZ Grapher, a commonly used piece of statistical software we use, watch these videos here.
Intro to NZ Grapher
Drawing Scatter Graphs
Box and Whisker Graphs and Sampling
Time Series Graphs
NZ Grapher
NZ Grapher
grapher.nz is the tool we use for making graphs in Statistics.
It is a light-weight, easy to use, internet tool made by a New Zealand maths teacher.
It can be used to make dot plots, box-and-whisker graphs, scatter graphs, time series graphs, histograms, dot plots, etc.
More Statistics Skills
More Statistics Skills
To improve your understanding of statistics, take a look at these resources.
Graph Types Used In Stats.pdfTypes of Graphs Used In Stats
Types of Graphs Used In Stats
This document has a list of types of graphs we use in statistics which students can use for reference
By the time students reach Year 11, they should know how to write a full statistical report.
To learn to do this, take a look at the 1.1 Statistical Enquiry page on this site.
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