10 Maths Lesson Material
See all lesson materials below. They are still a work in progress and are placeholders for lessons I have yet to make. They are based on the achievement standard statements from AC9. They would not normally be taught in this way.
Extension material has been omitted.
All pre-requisite material form years 7 and 8 are used as review at this point.
Explicit Instruction Lesson Materials
Approximation of Calculations
- 287r. Introduction to Approximation
- 288. Rounding and Consequences on Repeated Calculations
- 289. Comparing Exact and Approximate Values
- 290. Interpreting Error in Approximations
Modelling Growth
- 291r. Recognising Growth and Decay
- 292r. Modelling Linear Growth
- 293r. Modelling Linear Decay
- 294r. Modelling Quadratic Change
- 295. Modelling Exponential Growth
- 296. Modelling Exponential Decay
- 297. Solving Model Equations
- 298. Evaluating Growth and Decay Models
Functions
- 299. Patterns with Functions
- 300. Digital Graphing Tools
- 301. Testing Linear Conjectures
- 302. Testing Quadratic Conjectures
- 303. Investigating Relations
- 304. Comparing Families of Functions
- 305. Refining Conjectures
- 306. Communicating Digital Investigations
Linear Equations
- 307r. Graphing Linear Equations
- 308. Interpreting Simultaneous Equations
- 309. Solving Simultaneous Equations Graphically
- 310. Solving Simultaneous Equations via Substitution
- 311. Solving Simultaneous Equations via Elimination
- 312. Modelling Problems with Simultaneous Equations
- 313. Graphing Linear Inequalities
- 314. Solving Systems of Linear Inequalities
- 315. Justifying Graphical Solutions
- 316. Applying Equations and Inequalities
Logarithmic Scales
- 317. Understanding Logarithmic Scales
- 318. Reading Logarithmic Graphs
- 319. Applying Logarithmic Scales
- 320. Comparisons on Logarithmic Scales
Measurement
- 321. Partitioning Composite Objects
- 322. Volume of Composite Objects
- 323. Surface Area of Composite Objects
- 324. Missing Measurement Problems
- 325. Space Unit Conversion
- 326. Modelling Practical Composite Objects
- 327. Comparing Designs of Objects
- 328. Communicating Measurement Solutions
Trigonometry of Right-Triangles
- 329r. Identifying Right-Angled Triangles
- 330r. Pythagoras’ Theorem
- 331. Problems involving Pythagoras’ Theorem
- 332r. Trigonometric Ratios
- 333r. Finding Unknown Angles
- 334r. Choosing between Pythagoras’ Theorem and Trigonometric Ratios
- 335. Solving problems involving right-Angled Triangles
- 336. Communicating working involving Triangle Problems
Error
- 337r. Measurement Error
- 338. Calculating Errors
- 339. Interpreting Accuracy
- 340. Evaluating Measurement Results
Proportional Reasoning
- 341. Proportional Relationships
- 342. Direct Proportion
- 343. Using Ratios
- 344. Scale Factors
- 345. Area Scale Factor
- 346. Volume Scale Factor
- 347. Proportion Models
- 348r. Testing Model Outputs
- 349. Modifying Proportion Model Assumptions
- 350r. Comparing Scale Designs
- 351. Reporting Methods and Assumptions
- 352. Evaluating Models
Proof and Deduction
- 353. Deductive Reasoning
- 354. Applying Geometry Theorems
- 355. Using Spatial Algorithms
- 356. Justifying Spatial Solutions
Networks
- 357. Network Diagrams
- 358. Connectedness in Networks
- 359. Comparing Network Structures
- 360. Applying Networks to Contexts
Bivariate Data
- 361. Bivariate Investigations
- 362. Collecting Bivariate Data
- 363. Analysing Bivariate Data
- 364. Reporting Investigation Findings
- 365. Organising Two-Variable Data
- 366. Constructing Scatterplots
- 367. Describing Associations
- 368. Interpreting Bivariate Data
Statistical Bias
- 369. Statistical Claims
- 370. Sources of Bias
- 371. Bias and Media Representations of Data
- 372. Judging Conclusions Reaches by Others Statistically
Representing Data
- 373. Display Continuous data
- 374. Describing Centre and Spread
- 375. Analysing Shape of Data Displays
- 376. Considering Outliers
Probability
- 377r. Conditional Probability
- 378. Representing Compound Events
- 379. Calculating Conditional Probability
- 380. Interpreting Conditional Probability
Simulating Probability
- 381r. Conditional Probability
- 382. Conducting Digital Simulations
- 383. Analysing Simulation Results
- 384. Evaluating Simulation Models