Statistics Level 2
STA2 Course DescriptionTeacher in Charge: Mr D. Neufeld.
Recommended Prior LearningAchieved level in ALL internal standards in MAT1 or INT-MATH
Statistics Level 2
This course takes the statistics learned in Level One to the next level and also introduces new statistically based topics, which then continue into Level Three statistics and beyond.
Statistics, applicable to all areas of everything that humans do, is an essential form of Mathematics, which is needed in all fields of employment and academics. Combining Mathematics with social context, writing and making sense of the real world, this course is a stepping stone towards incredible career opportunities in understanding and working with data.
A tablet or laptop is highly recommended for this course.
As part of this course, students will be entered into 5 assessments.
There are 4 internal assessments.
A.S. 91265 v3 Mathematics and Statistics 2.10 - Conduct an experiment to investigate a situation using statistical methods
A.S. 91260 v3 Mathematics and Statistics 2.5 - Apply network methods in solving problems
A.S. 91264 v3 Mathematics and Statistics 2.9 - Use statistical methods to make an inference
A.S. 91268 v3 Mathematics and Statistics 2.13 - Investigate a situation involving elements of chance using a simulation
There is one external assessment.
A.S. 91267 v3 Mathematics and Statistics 2.12 - Apply probability methods in solving problems
Course Overview
Term 1
Statistical Experiment
Term 2
Networks
Inference
Term 3
Simulation
Normal Distribution and Probability external
Term 4
External exam preparation
Pathway Career Pathways
Mining Engineer, Agricultural/Horticultural Scientist, Agricultural Technician, Animal Care Attendant, Zoologist, Chemist, Statistician, Architectural Technician, Archivist, Historian, Biochemist, Science Technician, Clinical Coder, Journalist, Legal Executive, Forensic Scientist, Environmental Scientist, Economist, Food Technologist, Forestry Scientist, Market Research Analyst, Survey Interviewer, Tertiary Lecturer, Data Analyst
Contributions and Equipment/StationeryA tablet or laptop is highly recommended for this course.