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(Random) (2.B) Statistical process sampling and experimentation. Distinguish among observational studies, surveys, and experiments; and (2.C) Analyze generalizations made from observational studies, surveys, and experiments;
(Random) (2.E) Statistical process sampling and experimentation. Formulate a meaningful question, determine the data needed to answer the question, gather the appropriate data, analyze the data, and draw reasonable conclusions;
(Random) (2.F) Statistical process sampling and experimentation. Communicate methods used, analyses conducted, and conclusions drawn for a data-analysis project through the use of one or more of the following: a written report, a visual display, an oral report, or a multi-media presentation; and
(Random) (2.G) Statistical process sampling and experimentation. Critically analyze published findings for appropriateness of study design implemented, sampling methods used, or the statistics applied.
(Random) (5.D) Probability and random variables. Compare statistical measures such as sample mean and standard deviation from a technology-simulated sampling distribution to the theoretical sampling distribution.
(Random) (6.H) Inference. Explain the meaning of the p-value in relation to the significance level in providing evidence to reject or fail to reject the null hypothesis in the context of the situation;
(Random) (6.I) Inference. Interpret the results of a hypothesis test using technology-generated results such as large sample tests for proportion, mean, difference between two proportions, and difference between two independent means; and