Programme of Study

1.1.a: Applying suitable mathematics accurately within the classroom and beyond.

Estimating Population Size

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1.1.c: Selecting appropriate mathematical tools and methods, including ICT.

1.3.a: Knowing that mathematics is a rigorous, coherent discipline.

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1.3.b: Understanding that mathematics is used as a tool in a wide range of contexts.

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1.3.c: Recognising the rich historical and cultural roots of mathematics.

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1.3.d: Engaging in mathematics as an interesting and worthwhile activity.

Determining a Spring Constant

Estimating Population Size

1.4.a: Knowing that mathematics is essentially abstract and can be used to model, interpret or represent situations.

Estimating Population Size

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1.4.b: Recognising the limitations and scope of a model or representation.

2.1.a: identify the mathematical aspects of the situation or problem

Estimating Population Size

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2.1.d: select mathematical information, methods, tools and models to use.

2.2.a: make connections within mathematics

2.2.d: identify and classify patterns

Arithmetic Sequences

Arithmetic and Geometric Sequences

Finding Patterns

Geometric Sequences

2.2.e: make and justify conjectures and generalisations, considering special cases and counter-examples

Biconditional Statements

Conditional Statements

Geometric Probability

Polling: Neighborhood

Reaction Time 1 (Graphs and Statistics)

2.2.h: work logically towards results and solutions, recognising the impact of constraints and assumptions

Biconditional Statements

Conditional Statements

Estimating Population Size

2.2.i: identify a range of techniques that could be used to tackle a problem, appreciating that more than one approach may be necessary

2.2.o: record methods, solutions and conclusions

Biconditional Statements

Reaction Time 1 (Graphs and Statistics)

2.2.p: estimate, approximate and check working.

2.3.a: form convincing arguments to justify findings and general statements

2.3.b: consider the assumptions made and the appropriateness and accuracy of results and conclusions

2.3.c: appreciate the strength of empirical evidence and distinguish between evidence and proof

Biconditional Statements

Conditional Statements

2.3.e: relate their findings to the original question or conjecture, and indicate reliability

2.3.g: critically examine strategies adopted.

2.4.c: consider the elegance and efficiency of alternative solutions

2.4.d: look for equivalence in relation to both the different approaches to the problem and different problems with similar structures

3.1.c: proportional reasoning, direct and inverse proportion, proportional change and exponential growth

3.1.e: linear, quadratic and other expressions and equations

3.1.f: graphs of exponential and trigonometric functions

Compound Interest

Cosine Function

Exponential Functions

Introduction to Exponential Functions

Logarithmic Functions

Sine Function

Tangent Function

Translating and Scaling Functions

Translating and Scaling Sine and Cosine Functions

3.2.a: properties and mensuration of 2D and 3D shapes

3.2.b: circle theorems

Chords and Arcs

Inscribed Angles

3.2.c: trigonometrical relationships

Cosine Function

Sine Function

Sine, Cosine, and Tangent Ratios

Tangent Function

3.2.d: properties and combinations of transformations

Circles

Dilations

Reflections

Rotations, Reflections, and Translations

Translations

3.2.f: vectors in two dimensions

3.2.g: conversions between measures and compound measures

3.3.a: the handling data cycle

Box-and-Whisker Plots

Correlation

Describing Data Using Statistics

Polling: City

Real-Time Histogram

Stem-and-Leaf Plots

3.3.b: presentation and analysis of large sets of grouped and ungrouped data, including box plots and histograms, lines of best fit and their interpretation

Box-and-Whisker Plots

Correlation

Histograms

Least-Squares Best Fit Lines

Mean, Median, and Mode

Polling: City

Real-Time Histogram

Sight vs. Sound Reactions

Solving Using Trend Lines

Stem-and-Leaf Plots

Trends in Scatter Plots

3.3.c: measures of central tendency and spread

Box-and-Whisker Plots

Describing Data Using Statistics

Mean, Median, and Mode

Reaction Time 1 (Graphs and Statistics)

Real-Time Histogram

Stem-and-Leaf Plots

3.3.d: experimental and theoretical probabilities of single and combined events.

Binomial Probabilities

Geometric Probability

Independent and Dependent Events

Probability Simulations

Theoretical and Experimental Probability

Estimating Population Size

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Estimating Population Size

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Correlation last revised: 9/24/2019

This correlation lists the recommended Gizmos for this state's curriculum standards. Click any Gizmo title below for more information.