IA1.DS.A: Make sense of statistical inquiry.

Make sense of statistical inquiry.

IA1.DS.A.1Distinguish between correlation and causation.IA1.DS.A.2Understand and apply statistics as a process for making inferences about population parameters using random samples. a. Explain the importance of randomization in selecting samples to ensure unbiased and representative data. b. Analyze the representativeness of a sample and its implications for making inferences about the population.IA1.DS.A.3Analyze and interpret how data are represented and used in arguments or reports. a. Identify key components of data-based arguments, including claims, visualizations (e.g., graphs, tables), and the statistical language used to support conclusions. b. Evaluate the accuracy and effectiveness of visualizations in representing data and supporting a claim or conclusion. c. Describe how data were collected and whether the method (e.g., sampling, use of randomization) supports valid conclusions.IA1.DS.A.4Plan statistical investigations. a. Formulate statistical questions that can be answered with data. b. Determine effective data collection methods that enhance accuracy, validity, and representativeness of the data.

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