Compute (using technology) and interpret the correlation coefficient of a linear fit. (Statistics and Probability is a Modeling S.ID.8 R: Provides a clear explanation of causation and correlation. Conceptual Category.) Distinguish between correlation and causation. (Statistics and Probability is a Modeling Conceptual Category.) S.ID.9 Domain: Making Inferences and Justifying Conclusions*(Modeling Conceptual Category) Cluster: Understand and evaluate random processes underlying statistical experiments Standards Key ideas and Details Intervention Supports S.IC.1 Understand statistics as a process for making V/R: Shows several examples on standard S.IC.1 and has a funny video. inferences about population parameters based on a random sample from that population. *Statistics and Probability is a Modeling Conceptual Category V/R: Provides several examples and videos on statistics. Decide if a specified model is consistent with results from a given data-generating process, eg., using simulation. For example, a model V: Video on collecting data. S.IC.2 says a spinning coin falls heads up with probability 0.5. Would a result of 5 tails in a
S.ID.8 S.ID.9 Compute (using technology) and interpret the correlation coefficient of a linear fit. (Statistics and Probability is a Modeling Conceptual Category.) Distinguish between correlation and causation. (Statistics and Probability is a Modeling Conceptual Category.) R: Provides a clear explanation of causation and correlation. Domain: Making Inferences and Justifying Conclusions*(Modeling Conceptual Category) Cluster: Understand and evaluate random processes underlying statistical experiments Standards Key ideas and Details Intervention Supports S.IC.1 S.IC.2 Understand statistics as a process for making inferences about population parameters based on a random sample from that population. *Statistics and Probability is a Modeling Conceptual Category Decide if a specified model is consistent with results from a given data-generating process, eg., using simulation. For example, a model says a spinning coin falls heads up with probability 0.5. Would a result of 5 tails in a V/R: Shows several examples on standard S.IC.1 and has a funny video. V/R: Provides several examples and videos on statistics. V: Video on collecting data.