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Key ideas
Key ideas
Making a problem statement
Planning an investigation
Identifying variables
Naming the source
Managing data using NZ Grapher
Analysing data
Trend
Association
Relationship
Scatter
Unusual values (outliers)
Grouping
Interpretation of regression line
Predictions
Using the graph for confidence in predictions
Correlation and causation
Residuals
Conclusion
NZ Grapher statistical analysis tool (click the link)
NZ Grapher statistical analysis tool (click the link)
Import the data from a spreadsheet (Google Sheets, Excel, Numbers) by copying the data and using the "paste table" option
Select the graph you want to display and choose which variables (columns) you want to analyse
Fit a regression line for Scatter Plots and generate a linear model equation for prediction
Explore data using Pairs Plot and check for linearity by using a Residual Plot
Customise graphs how you like and paste them into your document
Play around with existing data sets on the website
Abalone exemplars
Abalone exemplars
Achieved
Achieved
High Excellence
High Excellence
Minimum for achieved.pdfExemplar.pdfSports science exemplar
Sports science exemplar
Sports Science exemplar.docxNotes and exercises used in class
Notes and exercises used in class
Bivariate data theory.pptxNZ Grapher booklet.pdfPage updated
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