Glossary
The Statistical enquiry cycle
What is statistical inference?
Introduction
The components of a time series
1. The trend
2. The seasonal pattern
3. Cyclic patterns
4. Noise/Residuals/Random movements
The mathematics behind time series
1. The trend
2. The seasonal pattern
3. The model
4. Forecasts
5. Unusual points
6. Extras that computer programs do for you
Setting up your investigation
1. Select your data
2. State the purpose of your investigation and who would find it useful
Select and use appropriate displays
Identify features in the data
1. The trend
2. The seasonal pattern
Using the model to make a forecast
1. The model
2. Forecasts
Unusual points
Improving the model
1. By using a multiplicative model
2. By splitting the data into phases
Comparing time series
Combining time series
Communicate finding in a conclusion
Writing about time series data
Pick the errors
Putting it all together
A basic report
A more detailed report
Practice tasks
Data sources
Answers
Charlotte Walker BEd, GradDipTchLn, MHealSc.Charlotte has over 10 years' experience in teaching Mathematics.
Victoria Walker BSc (Hons), GradDipTchLn. Victoria has twenty years' experience in teaching Mathematics. She has received a Jim Campbell award for teaching excellence (2003) and an Ernest Duncan award in Mathematics (2007).
New, fresh content - right up to date!
Cost effective write-on workbooks for individual standards allows for flexibility in course design.
Rigorous trialling of both text and answers.
Clearly modelled worked examples.
Plenty of practice opportunities.
A high standard of design and production – the clean design allows for plenty of open space and text.
Talented mother-daughter team with many years of combined teaching experience in New Zealand schools.