Search this site
Embedded Files
Skip to main content
Skip to navigation
3.8 Time Series
1. Home
2. Standard
3. Contents
a. Overview
PPDAC - Statistical Enquiry Cycle
The Statistical Enquiry Cycle
Features of Time Series
b. Introduction
Examples - Purpose Statements
c. Data
i.Explain the Variables
Examples - Variables
ii. Naming the Source
Examples - Sources
Data: Arctic - Sea Ice
d. Analysis
i. Long Term Trend
Examples - Trend
Smoothing
ii Seasonal Pattern
Example - Seasons
Multiplicative Model
iii. Unusual Points
Examples - Unusual Points
iv. Appropriateness of Model
Examples - Appropriateness of Model
v. Predictions
Examples - Predictions
vi. Reasons for confidence
Examples - Reasons for confidence
vii. Comparing Series
e. Conclusion
Examples - Conclusions
4. Report Writing
Template
Report Contents
Completed Report (web page)
A different way to present
Writing better reports
5. Assessment
Assessment Exemplars
Marking Schedule
Assessment Guidelines
Meat Farming Task
Polar Ice Task
6. Data Set Info
i. Sea Ice Resources
ii. Births and Deaths
iii. Penguins
iv. Visitors
v. Imports
vi. Forests
vii. Sunglasses
viii. Jobs
ix. Exercises
Dataset 1
Dataset 2
Dataset 3
Dataset 4
Dataset 5
Dataset 6
Dataset 7
Dataset 8
Dataset 9
Dataset 10
7. Workbooks
8. Teacher Notes
Old Site Pages
Copy of Examples - Purpose Statements
Copy of c. Plan
Copy of i.Explain the Variables
Copy of ii. Naming the Source
Copy of d. Data & Analysis
Copy of i. Long Term Trend
Copy of ii Seasonal Pattern
Copy of iii. Unusual Points
Copy of iv. Appropriateness of Model
Copy of v. Predictions
Copy of vi. Reasons for confidence
Copy of vii. Comparing Series
Copy of e. Conclusion
4. Assignments
6. Vocabulary
Archives
3. Lessons
01. Introduction
Basic Features
02. First Impressions
03. Smoothing
04. Adding the Long Term Trend
05. Seasonal Effects
06. Making predictions
07. iNZight basics
08. Describing the Long Term Trend
09. Decomposing data
10. Recomposing data
11. Seasonal effects (iNZight)
12. Predictions with iNZight
13. Comparing variables
14. Creating new variables
15. Testing the model
16. iNZight overview
17. Other models
18. Comparing spreadsheets and iNZight
19. Report writing
20. Reporting for assessment
Old Contents Page
Archives 2016
01. Introduction
02.1 Explaining the variables
02.2 Naming the Source
03. Data
05. The Conclusion
07. Data Set Info
4.1 Long Term Trend
4.2 Seasonal Pattern
4.3 Outliers
4.4 Fitting the Model
4.5 Predictions
4.6 Confidence
Assessment Guidelines
Lucy Edmonds Report Writing
MAGs Exemplars
Table 40 60 No border
Table 40 60 No border
Table 50 50
Table 50 50 with header
Table 60 40 single
Table 70 30
Table 70 30 Single
Table Combo Rows
Table multiple formats
Table One cell
Table Template
Table Template 4
Table Template Left
03. Data (and the software)
Data Integrity
Polar Ice Exemplars
Document
Copy of iv. Appropriateness of Model
3.8 Time Series
1. Home
2. Standard
3. Contents
a. Overview
PPDAC - Statistical Enquiry Cycle
The Statistical Enquiry Cycle
Features of Time Series
b. Introduction
Examples - Purpose Statements
c. Data
i.Explain the Variables
Examples - Variables
ii. Naming the Source
Examples - Sources
Data: Arctic - Sea Ice
d. Analysis
i. Long Term Trend
Examples - Trend
Smoothing
ii Seasonal Pattern
Example - Seasons
Multiplicative Model
iii. Unusual Points
Examples - Unusual Points
iv. Appropriateness of Model
Examples - Appropriateness of Model
v. Predictions
Examples - Predictions
vi. Reasons for confidence
Examples - Reasons for confidence
vii. Comparing Series
e. Conclusion
Examples - Conclusions
4. Report Writing
Template
Report Contents
Completed Report (web page)
A different way to present
Writing better reports
5. Assessment
Assessment Exemplars
Marking Schedule
Assessment Guidelines
Meat Farming Task
Polar Ice Task
6. Data Set Info
i. Sea Ice Resources
ii. Births and Deaths
iii. Penguins
iv. Visitors
v. Imports
vi. Forests
vii. Sunglasses
viii. Jobs
ix. Exercises
Dataset 1
Dataset 2
Dataset 3
Dataset 4
Dataset 5
Dataset 6
Dataset 7
Dataset 8
Dataset 9
Dataset 10
7. Workbooks
8. Teacher Notes
Old Site Pages
Copy of Examples - Purpose Statements
Copy of c. Plan
Copy of i.Explain the Variables
Copy of ii. Naming the Source
Copy of d. Data & Analysis
Copy of i. Long Term Trend
Copy of ii Seasonal Pattern
Copy of iii. Unusual Points
Copy of iv. Appropriateness of Model
Copy of v. Predictions
Copy of vi. Reasons for confidence
Copy of vii. Comparing Series
Copy of e. Conclusion
4. Assignments
6. Vocabulary
Archives
3. Lessons
01. Introduction
Basic Features
02. First Impressions
03. Smoothing
04. Adding the Long Term Trend
05. Seasonal Effects
06. Making predictions
07. iNZight basics
08. Describing the Long Term Trend
09. Decomposing data
10. Recomposing data
11. Seasonal effects (iNZight)
12. Predictions with iNZight
13. Comparing variables
14. Creating new variables
15. Testing the model
16. iNZight overview
17. Other models
18. Comparing spreadsheets and iNZight
19. Report writing
20. Reporting for assessment
Old Contents Page
Archives 2016
01. Introduction
02.1 Explaining the variables
02.2 Naming the Source
03. Data
05. The Conclusion
07. Data Set Info
4.1 Long Term Trend
4.2 Seasonal Pattern
4.3 Outliers
4.4 Fitting the Model
4.5 Predictions
4.6 Confidence
Assessment Guidelines
Lucy Edmonds Report Writing
MAGs Exemplars
Table 40 60 No border
Table 40 60 No border
Table 50 50
Table 50 50 with header
Table 60 40 single
Table 70 30
Table 70 30 Single
Table Combo Rows
Table multiple formats
Table One cell
Table Template
Table Template 4
Table Template Left
03. Data (and the software)
Data Integrity
Polar Ice Exemplars
Document
Copy of iv. Appropriateness of Model
More
1. Home
2. Standard
3. Contents
a. Overview
PPDAC - Statistical Enquiry Cycle
The Statistical Enquiry Cycle
Features of Time Series
b. Introduction
Examples - Purpose Statements
c. Data
i.Explain the Variables
Examples - Variables
ii. Naming the Source
Examples - Sources
Data: Arctic - Sea Ice
d. Analysis
i. Long Term Trend
Examples - Trend
Smoothing
ii Seasonal Pattern
Example - Seasons
Multiplicative Model
iii. Unusual Points
Examples - Unusual Points
iv. Appropriateness of Model
Examples - Appropriateness of Model
v. Predictions
Examples - Predictions
vi. Reasons for confidence
Examples - Reasons for confidence
vii. Comparing Series
e. Conclusion
Examples - Conclusions
4. Report Writing
Template
Report Contents
Completed Report (web page)
A different way to present
Writing better reports
5. Assessment
Assessment Exemplars
Marking Schedule
Assessment Guidelines
Meat Farming Task
Polar Ice Task
6. Data Set Info
i. Sea Ice Resources
ii. Births and Deaths
iii. Penguins
iv. Visitors
v. Imports
vi. Forests
vii. Sunglasses
viii. Jobs
ix. Exercises
Dataset 1
Dataset 2
Dataset 3
Dataset 4
Dataset 5
Dataset 6
Dataset 7
Dataset 8
Dataset 9
Dataset 10
7. Workbooks
8. Teacher Notes
Old Site Pages
Copy of Examples - Purpose Statements
Copy of c. Plan
Copy of i.Explain the Variables
Copy of ii. Naming the Source
Copy of d. Data & Analysis
Copy of i. Long Term Trend
Copy of ii Seasonal Pattern
Copy of iii. Unusual Points
Copy of iv. Appropriateness of Model
Copy of v. Predictions
Copy of vi. Reasons for confidence
Copy of vii. Comparing Series
Copy of e. Conclusion
4. Assignments
6. Vocabulary
Archives
3. Lessons
01. Introduction
Basic Features
02. First Impressions
03. Smoothing
04. Adding the Long Term Trend
05. Seasonal Effects
06. Making predictions
07. iNZight basics
08. Describing the Long Term Trend
09. Decomposing data
10. Recomposing data
11. Seasonal effects (iNZight)
12. Predictions with iNZight
13. Comparing variables
14. Creating new variables
15. Testing the model
16. iNZight overview
17. Other models
18. Comparing spreadsheets and iNZight
19. Report writing
20. Reporting for assessment
Old Contents Page
Archives 2016
01. Introduction
02.1 Explaining the variables
02.2 Naming the Source
03. Data
05. The Conclusion
07. Data Set Info
4.1 Long Term Trend
4.2 Seasonal Pattern
4.3 Outliers
4.4 Fitting the Model
4.5 Predictions
4.6 Confidence
Assessment Guidelines
Lucy Edmonds Report Writing
MAGs Exemplars
Table 40 60 No border
Table 40 60 No border
Table 50 50
Table 50 50 with header
Table 60 40 single
Table 70 30
Table 70 30 Single
Table Combo Rows
Table multiple formats
Table One cell
Table Template
Table Template 4
Table Template Left
03. Data (and the software)
Data Integrity
Polar Ice Exemplars
Document
Copy of iv. Appropriateness of Model
4.5 Predictions
Google Sites
Report abuse
Google Sites
Report abuse