Unit 1:
Descriptive and Inferential Statistcs
AA.DSR.2: Communicate descriptive and inferential statistics by collecting, critiquing, analyzing, and interpreting real-world data.
Learning Goal:
- I can examine a statistical study's description to identify the variable of interest, population, and sample.
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Learning Goal:
- I can distinguish between an observational study and an experiment design.
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Learning Goal:
- I can describe the potential effects of bias and explain why using a type of random sampling within an observation study is or is not appropriate.
- I can evaluate and critique an observation conclusion of a claim about a population based on the sample collected.
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Learning Goal:
- I can distinguish and identify between the types of experimental designs that include the basic components and elements of a well-designed study.
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Learning Goal:
- I can design a quantitative observational study using the four-step statistical question.
- I can design an experimental study using the basic components and well-designed elements.
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Learning Goal:
- I can find and interpret a z-score, percentile, and specific data value using the formula or z-table
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Learning Goal:
- I can distinguish between the distribution of a population, the distribution of a sample, and the sampling distribution.
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Learning Goal:
- I can find and calculate the mean and standard deviation in a mean or proportion sampling distribution to make inferences on the population arameter.
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Learning Goal:
- I can calculate the likelihood of an event occurring in a sampling distribution of a sample mean or proportion.
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Learning Goal:
- I can determine the reliability of a sample statistic by comparing two different margins of error.
- I can provide convincing evidence on a population parameter by constructing a confidence interval from a sample statistic.
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