Statistics

Course Overview


Code: 
LA Code: 
Levels: 
8
Learning Area: 

This course is half internally, half externally assessed. There are several alternative options that may not be done in class so there is the possibility to work on a topic by your self outside of the class and get assessed at a convenient time but it requires conscientious work.
Prerequisites vary depending on the topic. The Probability topics require Algebra knowledge. Knowledge of the equations of straight-line graphs is important for the other options. Level 1 AS 91037 Chance and Data would be really helpful and in level 2, AS 91264 Statistical inference, AS91267 Probability, AS91035 Multivariate data, AS91036 Bivariate data will help improve Level 3 grades.

AS 91585 Probability concepts 4 credits (external)
This adds several more tools for calculating more complex probability probabilities than you have so far.

AS 91586 Probability distributions 4 credits (external)
You learn to use four different models, commonly used in the world, of predicting probability.

AS 91584 Evaluate statistical reports 4 credits (external)
Get more skilled in assessing the truth of statistics information. (Provides literacy credits)

AS 91582 Statistical inference 4 credits (internal)
Learn two methods commonly used for determining the reliability of statistical inferences. (Provides literacy credits)

AS 91581 Bivariate data 4 credits (internal)
Investigate the relationships of two or more sets of real data to draw conclusions. (Provides literacy credits)

AS 91576 Critical path analysis 4 credits (internal)
Be introduced to a powerful planning tool in common use in today’s world.

Other possibilities for individual study are Experiments, Time series, Linear programming and Simultaneous equations.



Courses offered per block.

TitleLA CodeBlockYear
Probability Distributions.DERT4.12019
Probability Distributions.DERT3.22019
Probability Distributions.DERT3.12019
Probability ConceptsDERT2.22019
Probability ConceptsDERT2.12019
Statistics - Time SeriesDERT1.22019
Statistics L3 Bivariate dataDERT1.12019