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8Year 8 Standards
Top Mathematicians
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Statistics
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8.S.1.1
Statistical investigation
• Carry out investigations of phenomena, using the statistical enquiry cycle:
– conducting experiments using experimental design principles, conducting surveys, and using existing data sets;
– finding, using, and assessing appropriate models (including linear regression for bivariate data and additive models for timeseries data), seeking explanations, and making predictions;
– using informed contextual knowledge, exploratory data analysis, and statistical inference;
– communicating fi ndings and evaluating all stages of the cycle.
• Make inferences from surveys and experiments:
– determining estimates and confi dence intervals for means, proportions, and differences, recognising the relevance of the central limit theorem;
– using methods such as resampling or randomisation to assess the strength of evidence. -
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8.51Interpret Line Graphs5
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8.74Interpret Line Plots with Up to 5 Data Points5
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8.75Interpret Line Plots5
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8.76Interpret Line Plots with Numbers Up to 405
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8.77Interpret Histograms5
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8.78Convert Graphs to Input/Output Tables5
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8.79Scatter Plots5
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8.80Rate of Change10
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8.81Create Line Plots5
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8.82Create Line Plots II5
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8.83Interpret Stem and Leaf Plots10
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8.84Interpret Bar Graphs20
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8.85Create Bar Graphs Using Tables5
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8.86Create Bar Graphs5
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8.87Create Histograms5
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8.88Create Frequency Charts5
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8.89Interpret Circle Graphs5
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8.90Circle Graphs and Central Angles5
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8.91Create Line Graphs5
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8.92Interpret Box-And-Whisker Plots5
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8.93Choose the Best Graph Type5
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8.94Identify Biased Samples5
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8.95Identify Representative Samples5
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8.96Identify Representative, Random, and Biased Samples5
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8.97Identify Random Samples5
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8.S.1.2
Statistical literacy
• Evaluate a wide range of statistically based reports, including surveys and polls, experiments, and observational studies:
– critiquing causal-relationship claims;
– interpreting margins of error. -
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8.98Probability of Simple Events5
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8.99Probability of Opposite and Overlapping Events5
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8.100Probability Problems5
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8.101Experimental Probability15
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8.102Making Predictions5
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8.103Prediction Problems5
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8.104Compound Events: Find the Number of Outcomes5
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8.105Counting Principle15
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8.S.1.3
Probability
• Investigate situations that involve elements of chance:
– calculating probabilities of independent, combined, and conditional events;
– calculating and interpreting expected values and standard deviations of discrete random variables;
– applying distributions such as the Poisson, binomial, and normal. -
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8.S.1.1
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Mathematics
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8.MA.1.1
Patterns and relationships
• Apply the geometry of conic sections.
• Display and interpret the graphs of functions with the graphs of their inverse and/or reciprocal functions.
• Use permutations and combinations.
• Use curve fi tting, log modelling, and linear programming techniques.
• Develop network diagrams to fi nd optimal solutions, including critical paths. -
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8.MA.1.2
Equations and expressions
• Manipulate trigonometric expressions.
• Form and use trigonometric, polynomial, and other non-linear equations.
• Form and use systems of simultaneous equations, including three linear equations and three variables, and interpret the solutions in context.
• Manipulate complex numbers and present them graphically -
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8.MA.1.3
Calculus
• Identify discontinuities and limits of functions.
• Choose and apply a variety of differentiation, integration, and antidifferentiation techniques to functions and relations, using both analytical and numerical methods.
• Form differential equations and interpret the solutions. -
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8.MA.1.1