Time Series Analysis, Internal, 4 credits, AS 3.8
Aim to finish at the end of Term III 2013.
Notes from Jordy and Ellas books for tournament week are below
I have put our study documents here. (from Shared Drive)
Remember to include Dates, Values, Units and Context wherever possible. These may be missing from parts of the examples, so be alert and improve on them (eg arctic sea ice purpose statement).
You can download exemplars from NZQA:
http://www.nzqa.govt.nz/qualifications-standards/qualifications/ncea/subjects/mathematics/exemplars/level-3-as91580-a/
http://www.nzqa.govt.nz/qualifications-standards/qualifications/ncea/subjects/mathematics/exemplars/level-3-as91580-b/
time_series_resource_sheet_2013.docx | |
File Size: | 25 kb |
File Type: | docx |
time_series_notes_as_3.2.docx | |
File Size: | 15 kb |
File Type: | docx |
example_answer_arctic_sea_ice.docx | |
File Size: | 15 kb |
File Type: | docx |
arctic_graphs.docx | |
File Size: | 120 kb |
File Type: | docx |
Note that this topic requires you to show evidence of use of the PPDAC cycle. It also requires you to integrate contextual knowledge in the production of a report on time series data.
To introduce the concept of "smoothing" data to find the long term trend, we started by manually calculating and drawing a 3 point moving median on some graphs.
For the actual assessment, we will use INZIGHT to make a weighted (LOWESS) smooth line.
We will also use INZIGHT to decompose the data, giving us the seasonal patterns and residual patterns and also to calculate predicted values for the future of our Time Series data.
For the actual assessment, we will use INZIGHT to make a weighted (LOWESS) smooth line.
We will also use INZIGHT to decompose the data, giving us the seasonal patterns and residual patterns and also to calculate predicted values for the future of our Time Series data.