Part of the series Statistics and Probability for the Australian Curriculum.
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Statistics and Probability for the Australian Curriculum supports an active inquiry approach to developing statistical thinking, an increasingly important skill throughout industry, government and education. Real statistical data investigations guide students from first thoughts, through planning, collecting and exploring data, to reporting. Written explicitly for the Australian Curriculum, the two-book series supports in-depth study of statistics and probability and helps students of all abilities to draw conclusions and relate learning to every day contexts. The knowledge and skills developed in this series will build a solid foundation for understanding the processes of modelling probabilities, which lie at the heart of statistical inference. Stimulating activities introduce each topic - each section begins with an introductory activity to stimulate class discussion and engage students with the material. Assistance with overcoming common misconceptions - Key terms, hints and caution boxes support students throughout the learning process by offering handy references that help clarify misconceptions. Focus on skill development through investigations and experiments - Exercises and examples within the books, linked to additional activities in the Teacher Resource Package, focus on developing the skills needed to master statistical investigations and probability experiments. Detailed review sections help with revision - Review sections include a chapter summary, mind map, short answer and extended response questions to consolidate understanding. This is a digital only, PDF Textbook version of the print textbook.
Chapter 1 Data investigations to compare continuous data across groups
- 1.1 Review of the data investigation process
- 1.2 Continuous data across groups
- 1.3 Using dotplots and stem-and-leaf plots
- 1.4 Histograms
Chapter 2 Comparing features of continuous datasets
- 2.1 Shape of data
- 2.2 Concepts of modes for continuous data
- 2.3 Commenting on data
- 2.4 Problems with secondary data
Chapter 3 Events for 2 or 3 variables and their probabilities
- 3.1 Brief review of probability
- 3.2 Pairs of outcomes
- 3.3 Conditional language and applications
- 3.4 Concept of independence
- 3.5 Special case of two or three step chance experiments
Chapter 4 Boxplots
- 4.1 Quartiles
- 4.2 Boxplot
- 4.3 Comparing boxplots, histograms and dotplots
Chapter 5 Scatterplots
- 5.1 Paired data
- 5.2 Exploring relationships
- 5.3 Including a categorical variable
- 5.4 Scatterplots versus time
- 5.5 Critiquing comments
Chapter 6 Some further steps
- 6.1 Critiquing reports
- 6.2 Sample standard deviation
- 6.3 Linear relationships
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|Publisher||Cambridge University Press|
|Product Type||Student Books,|
|Year Level||Year 9, Year 10,|
|Author(s)||Helen McGillivray / Peter Petocz / Michael Evans (Consultant) / Peter Jones (Consultant)|
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