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STANDARDS

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US-VA

Math

Virginia Math

Probability and Statistics: Data in Context

Define the stages of the statistical cycle and how each stage relates to the others.
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Formulate questions and conclusions based on context.
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Understand the type of data relevant to the question at hand (e.g., quantitative versus categorical).
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Compare and contrast population and sample, and parameter and statistic.
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Identify and explain constraints of the statistical approach.
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Investigate and describe sampling techniques (e.g., simple random sampling, stratified sampling, systematic sampling, cluster sampling).
Determine which sampling technique is best, given a particular context.
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Investigate and explain biased influences inherent within sampling methods and various forms of response bias.
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Use the statistical cycle to plan and conduct an observational study to answer a question or address a problem.
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treatment/control groups;
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blinding/placebo effects;
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experimental units/subjects; and
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blocking/matched pairs and completely randomized designs.
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Evaluate the principles of experimental design to address comparison, randomization, replication, and control within the context of the problem.
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Compare and contrast controlled experiments and observational studies and the conclusions that may be drawn from each.
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Use the statistical cycle to plan and conduct a well-designed experiment to answer a question or address a problem.
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Select a data collection method appropriate for a given context.
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