Course Description

This course provides teachers with a comprehensive guide to the knowledge and techniques required to teach Mathematics Standard 11-12 Syllabus (2024). It covers all of the dot points of Data analysis.


The course goes into greater detail than the textbooks, so that teachers become more comfortable in their ability to deliver the content. All 71 examples have been recorded, so that you can watch an experienced maths teacher talk through the examples and any important points to note.

New and existing content is explored in detail, including interesting and more efficient techniques that experienced teachers may not have seen before. Important points to be covered with students are noted, and the limits of the syllabus are discussed.


The course includes: 

• 71 recorded examples 

• A total of 40 quiz questions at the end of each lesson 

• A 192 page course handout in two formats – one with blank space for you to complete the examples and a second with completed solutions to the examples. 

• A 46 page exercise booklet with 71 optional practice questions matching the examples from the course, with fully worked solutions. 


The Mathematics Standard 11-12 Syllabus (2024) will be covered in ten courses. The courses are: 


Standard Course 1 - Year 11  

Formulas and equations

Linear relationships

Standard Course 2 - Year 11  

Earning money

Managing money

Standard Course 3 - Year 11 

Applications of measurement

Time and location

Standard Course 4 - Year 11 

Networks, paths and trees

Standard Course 5 - Year 11 

Data analysis

Standard Course 6 - Year 12 

STD1: Algebraic relationships

STD2: Algebraic relationships

Standard Course 7 - Year 12 

STD1: Investment | Depreciation and loans

STD2: Investment and loans | Annuities

Standard Course 8 - Year 12 

STD1: Right-angled triangles | Ratios and rates

STD2: Trigonometry |   Ratios and rates

Standard Course 9 - Year 12 

STD1: Bivariate data analysis | Relative frequency and probability

STD2: Bivariate data analysis | Relative frequency and probability | The normal distribution

Standard Course 10 - Year 12 

STD1: N/A

STD2: Network flow & Critical path analysis


Audience

Mathematics teachers of any experience level who are preparing to teach the new Advanced syllabus.


Teaching Standards

2.1.2 Proficient Level - Know the content and how to teach it - Content and teaching strategies of the teaching area:  Apply knowledge of the content and teaching strategies of the teaching area to develop engaging teaching activities

Course curriculum

  • 1

    Course administration

    • Course information and introduction
  • 2

    Part 1a Structure of the Standard Mathematics syllabuses

    • Standard, Standard 1 and Standard 2

    • Content in Standard 1 versus Standard

  • 3

    Part 1b Preparing to teach the 2024 Mathematics syllabuses

    • 2024 Syllabuses

    • Standard scopes and sequences
  • 4

    Part 1c How is teaching Advanced different to teaching Standard?

    • How is teaching Standard different?

    • General hints for student success in Standard
  • 5

    Part 2a Introduction to Data analysis

    • Summary of the content in this course

    • What has changed from the 2017 syllabus?
  • 6

    Part 2b Lessons

    • List of lessons
  • 7

    Lesson 1 - Classifying data

    • Lesson introduction

    • Probability and statistics

    • Classifying variables

    • Why does the classification of variables matter?

    • Practice exercises

    • Lesson 1 Quiz
  • 8

    Lesson 2 - Populations, samples and surveys

    • Lesson introduction

    • The statistical investigation process for a survey

    • Populations, samples, censuses and surveys

    • Surveying methods

    • Practice exercises

    • Lesson 2 Quiz
  • 9

    Lesson 3 - Tables and graphs

    • Lesson introduction

    • Organising the teaching of Statistics

    • Tables and graphs

    • Cumulative frequency tables, histograms and polygons (ogives)

    • Suitability of different tables and graphs

    • Using spreadsheets to create graphs

    • Misleading graphs

    • Statistical infographics

    • Practice exercises

    • Lesson 3 Quiz
  • 10

    Lesson 4 - Measures of central tendency

    • Lesson introduction

    • Summary statistics

    • Measures of central tendency

    • Using a spreadsheet to find measures of central tendency

    • Harder applications of measures of central tendency

    • Practice exercises

    • Lesson 4 Quiz
  • 11

    Lesson 5 - Modality and shape

    • Lesson introduction

    • Modality

    • Shape

    • Practice exercises

    • Lesson 5 Quiz
  • 12

    Lesson 6 - Measures of spread

    • Lesson introduction

    • Measures of spread

    • Using a spreadsheet to find measures of spread

    • Practice exercises

    • Lesson 6 Quiz
  • 13

    Lesson 7 - Box plots and outliers

    • Lesson introduction

    • Box plots (box and whisker plots)

    • Outliers

    • Practice exercises

    • Lesson 7 Quiz
  • 14

    Lesson 8 - Comparing and interpreting datasets

    • Lesson introduction

    • Comparing and interpreting datasets

    • Parallel box plots

    • Appropriate and inappropriate use of measures of centre and spread

    • Practice exercises

    • Lesson 8 Quiz
  • 15

    Conclusion

    • Conclusion

Features of TTA Online PD

  • Availabilty

    Online courses are available 24/7. Designed to be done in your own time at your own pace.

  • Money back Guarantee

    If you complete less than 25% of an online course and aren't completely satisfied, let us know, and we will cancel your enrolment and provide a full refund.