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US-VA

Math

Virginia Math

Probability and Statistics: Inferential Statistics

Describe the shape, center, and spread of the sampling distribution of a proportion within the context of a problem.
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identify the basic conditions for inference: random sample, independence, and normality;
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calculate a confidence interval using technology; and
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interpret the interval within the context of the problem.
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Explain how changes in confidence level and sample size affect width of the confidence interval and margin of error.
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Calculate and interpret a point estimate and margin of error of a confidence interval for a proportion within the context of the problem.
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Explain how and why the hypothesis testing procedure allows one to reach a statistical decision.
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construct appropriate null and alternate hypotheses;
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identify the basic conditions for inference: random sample; independence, and normality;
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calculate and interpret the 𝑝-value using technology;
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determine and justify whether to reject the null hypothesis; and
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interpret the results within the context of the problem.
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Use the statistical cycle to plan and conduct a statistical study about a proportion to answer a question or address a problem with inference.
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Describe the shape, center, and spread of the sampling distribution of a mean within the context of a problem.
Calculate and interpret a point estimate and a margin of error for a confidence interval of a mean within the context of a problem.
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Describe the use of the Central Limit Theorem in satisfying the assumptions and conditions for inference about a mean.
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Identify the properties of a 𝑡 distribution.
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identify the basic conditions for inference: random sample, independence, and approximate normality;
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calculate a confidence interval using technology; and
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interpret the interval within the context of the problem.
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construct appropriate null and alternate hypotheses;
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identify the basic conditions for inference: random sample, independence, and approximate normality;
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calculate and interpret the 𝑝 value using technology;
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determine and justify whether to reject the null hypothesis; and
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interpret the results within the context of the problem.
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