Teacher in Charge: Ms P. Blud
Graduate profile: (What qualities/additional skills will learners achieve by taking this course?)
The certificate at level 2 qualifies individuals with introductory knowledge and skills for a field(s)/areas of work or study e.g. NCEA maths and English to Level 2 are useful for getting an apprenticeship. For some apprenticeships you need specific NCEA subjects. This course will help students gain the required knowledge and required Mathematics credits towards NCEA Level 2 certificate. This is a 19credit course covering Algebra and Probability. It is designed to lead into Level 3 Statistics.
Success in this course is largely dependent on the students' commitment to the work required in class and their homework. The Mathematical skills necessary for this course are learnt through practice and more practice. It is NOT sufficient to do a few problems in class and then to stop. Every night after Mathematics, they need to go over the work that they did in the classroom. For entry into Level 2 Mathematics with Statistics students must have obtained 14 credits from Level 1 Mathematics standards.
Possible Career/ Vocational Pathway(s): (What career pathways are related to this course?)
If students wish to further their learning, this course can lead students to tertiary education in Mathematics with statistics or Pure Sciences (especially Biology), and is also import in subjects like Business Studies, Commerce, Education, Geography, Health Studies, Marketing, Nursing, Politics, Psychology, Social Work, Journalism, Town Planning  any career involving prediction, sampling or probability.
Learning outcomes/Assessment links: See standards list
NOTE: Courses are subject to change with the review of courses at the end of each year. Course
Progression: (What courses does this course lead to?)
Level 2 Mathematics with Statistics is a statistically orientated Level 2 course in Mathematics. It involves some algebraic content and is designed to lead into Level 3 Mathematics with Statistics.
Vocational/Industry links: (What vocational or industry learning experiences will be included in this course?)
This course offers a reasonable balance of theoretical learning lessons and hands on experience and involves considerable statistical investigations and writing relevant reports.
Contextualised contexts: (What local, cultural, reallife content is involved in this course?)
The contextualised contexts in this course balances the time of learning in class and out of class experiences. The local context is integrated in the way we learn and teach. The activities selected involve local concepts which are familiar to our students.
Teaching and Learning Approaches: (How will I learn in this course?)
Success in this course is largely dependent on their regular attendance at school, commitment to the work required in class and homework. The mathematical skills necessary for this course are learned through practise and more practise. It is not sufficient to do a few problems in class and then stop. Regular revision is one of the keys to success in this course. Preferably, students need to go over the work that they learnt in the classroom every night.
Term 1
AS91260 (5 weeks). AS91268 (4 weeks). AS91265 (2 weeks)
KEY DATES: Week 5: Assessment. Week 9: Assessment
Term 2
AS91265 (2 weeks)
KEY DATES: Week 2: Assessment. Week 6: Assessment. Week 10: Assessment
Term 3
AS91258 (3 weeks). AS91267 (5 weeks)
KEY DATES; Week 3: Assessment. Derived Grade Examinations
Term 4
Revision for externals
KEY DATES: Week 5: NCEA Examinations
Level 3 Mathematics with Statistics
Resource RequirementsResource requirements: (What resources will I need to have to learn in this course?)
Students will be given important information sheets during the year that they will need to refer to from time to time. They are strongly advised to buy a clear file and use it to store this information. Students should also keep all their assignments, tests, exams etc as they are all very useful for study purposes.
A scientific calculator is essential. While the school has sets available for use at school, students need their own for homework and other out of school activities. The department has some calculators available for purchase at very competitive prices. Check with the class teacher or Ms Blud.
For Level 2 Mathematics with Statistics students must have obtained 14 credits from Level 1 Mathematics standards.
This course is eligible for subject endorsement.
This course is approved for University Entrance.
Assessment  Level 
Internal or External 
Credits 
L1 Literacy Credits  UE Literacy Credits  Numeracy Credits 

A.S. 91256 v3 Mathematics and Statistics 2.1  Apply coordinate geometry methods in solving problems  2 
I 
2 
Y 

A.S. 91258 v3
Mathematics and Statistics 2.3  Apply sequences and series in solving problems
Assessments: Term: , Week: 
2 
I 
2 
Y 

A.S. 91260 v3
Mathematics and Statistics 2.5  Apply network methods in solving problems
Assessments: Term: , Week: 
2 
I 
2 
Y 

A.S. 91264 v3 Mathematics and Statistics 2.9  Use statistical methods to make an inference  2 
I 
4 
Y 
Y 

A.S. 91265 v3
Mathematics and Statistics 2.10  Conduct an experiment to investigate a situation using statistical methods
Assessments: Term: , Week: 
2 
I 
3 
Y 
Y 

A.S. 91267 v3
Mathematics and Statistics 2.12  Apply probability methods in solving problems
Assessments: Term: , Week: 
2 
E 
4 
Y 
Y 

A.S. 91268 v3
Mathematics and Statistics 2.13  Investigate a situation involving elements of chance using a simulation
Assessments: Term: , Week: 
2 
I 
2 
Y 
Y 

Total Credits 
Total Credits Available: 19 credits.
Externally Assessed Credits: 4 credits.
Internally Assessed Credits: 15 credits.
Chemistry, Physics, Engineering, Structural Design, Economics, Architecture, Business Studies, Commerce, Education, Geography, Health Studies, Marketing, Nursing, Politics, Psychology, Social Work, Journalism, Town Planning, prediction, sampling and probability, Construction and infrastructure, Manufacturing and technology, The Primary Industries, The Service Industries, Social and Community services, Accountant, Actuarial Science, Computer Analyst or programmer, Economist, Engineering Analyst, Information Scientist, Marketing Research Analyst, Mathematician, Meteorologist, Numerical Analyst, Operations Research, Statistician, Systems Analyst, Teacher, Architecture