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.
|Statistics - Time Series||DERT||1.2||2019|
|Statistics L3 Bivariate data||DERT||1.1||2019|