This course is roughly 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 some 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.
It is University Entrance approved and also may be combined with some Calculus standards to create a Mathematics approved subject.
AS 91581 Bivariate data 4 credits (internal)
Investigate the relationships of two or more sets of real data to draw conclusions.
91580 Investigate time series data 4 credits (internal)
Look at patterns over time in a set of data.
AS 91582 Statistical inference 4 credits (internal)
Learn two methods commonly used for determining the reliability of statistical inferences.
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. (writing UE literacy)
Other possibilities for individual study are Networks, Linear programming and Simultaneous equations.
Courses offered per block.