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EAST LONGMEADOW PUBLIC SCHOOLS Mathematics The Massachusetts Mathematics Curriculum Framework envisions all students in the Commonwealth achieving mathematical competence through a strong mathematics program that emphasizes problem solving, communicating, reasoning and proof, making connections, and using representations. Acquiring such competence depends in large part on a clear, comprehensive, coherent, and developmentally appropriate set of standards to guide curriculum expectations. |
| Probability/Statistics |
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Statistical Experiments
The learner will be able to study a problem, establish the information needed to solve the problem, devise an experiment, carry it out, collect the data, draw conclusions based on the data, and communicate the results to others.
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Measures of Central Tendency: Applying
The learner will be able to use measures of central tendency to describe data.
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Variability: Applying
The learner will be able to use measures of variability to describe data.
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Correlation: Applying
The learner will be able to use measures of correlation to describe data.
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Measures of Central Tendency: Analyze
The learner will be able to analyze the changes in the measures of central tendency when a data transformation occurs.
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Variability: Analyze
The learner will be able to analyze the changes in the measures of variability when a data transformation occurs.
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Data: Transformation
The learner will be able to perform data transformation and understand how the transformation assists in both interpreting and making predictions with that data.
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Variate: Applying
The learner will be able to use random variable concepts.
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Distributions: Discrete/Create
The learner will be able to construct a discrete probability distribution.
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Distributions: Discrete/Interpret
The learner will be able to interpret a discrete probability distribution.
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Predictions: Curve Fitting
The learner will be able to make predictions from data using curve fitting.
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Uncertainty: Representing/Solving
The learner will be able to represent and solve problems of uncertainty by applying relative frequency and probability concepts.
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Probability Distribution: Normal Curve
The learner will be able to explain (in non-specific terms), the normal curve, and use its attributes in answering questions about data that is assumed to be normally distributed.
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Statistics
The learner will be able to apply appropriate statistics in the verification of hypotheses.
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Probability: Finite
The learner will be able to obtain solutions to problems of enumeration and/or finite probability.
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