Georgia flagGeorgia: Statistical Reasoning Math Standards

30 standards · 6 domains

SR.DSR

  • SR.DSR.2.1 Formulate statistical investigative questions about a population using samples taken from the population.
  • SR.DSR.2.2 Formulate comparative and associative statistical investigative questions for surveys, observational studies, and experiments to compare two or more groups or to investigate the association of two or more variables.
  • SR.DSR.2.3 Formulate multivariable statistical investigative questions.
  • SR.DSR.2.4 Formulate inferential statistical investigative questions regarding association and prediction.
  • SR.DSR.3.1 Apply an appropriate data-collection plan when collecting primary or secondary data for the statistical investigative question of interest.
  • SR.DSR.3.2 Distinguish between surveys, observational studies, and experiments.
  • SR.DSR.3.3 Design sample surveys, experiments, and observational studies using accepted practices.
  • SR.DSR.3.4 Distinguish between random selection and random assignment and identify their impact on conclusions.
  • SR.DSR.3.5 Describe potential sources and effects of bias and confounding variables
  • SR.DSR.3.6 Describe and adhere to the ethical use of data (e.g., sensitive information, privacy, and living subjects).
  • SR.DSR.3.7 Identify when data can be generalized to a target population.
  • SR.DSR.4.1 Summarize quantitative or categorical data using tables, graphical displays, and numerical summary statistics.
  • SR.DSR.4.2 Summarize and describe relationships among multiple variables.
  • SR.DSR.4.3 Use sampling distributions developed through simulation to describe the sample-to-sample variability of sample statistics.
  • SR.DSR.4.4 Use sampling distributions to compute simulated p-values.
  • SR.DSR.4.5 Describe the relationship between two quantitative variables by interpreting correlation (r) and a least-square regression line (using technology).
  • SR.DSR.4.6 Use simulations to investigate associations between two categorical variables and to compare groups.
  • SR.DSR.5.1 Use statistical evidence from analyses to answer the formulated statistical investigative questions.
  • SR.DSR.5.2 Interpret the impact of outliers, missing values, or erroneous values on the results.
  • SR.DSR.5.3 Use and interpret the p-value to determine whether the estimate for a population characteristic is plausible.
  • SR.DSR.5.4 Interpret a given margin of error associated with an estimate of a population characteristic.
  • SR.DSR.5.5 Explain the impact of multiple variables on one another.

DATA & STATISTICAL REASONING – FORMULATE STATISTICAL INVESTIGATIVE QUESTIONS

  • SR.DSRa.2 Formulate statistical investigative questions of interest to students that can be answered with data.

DATA & STATISTICAL REASONING – COLLECT DATA

  • SR.DSRb.3 Collect data by designing and implementing a plan to address the formulated statistical investigative question.

DATA & STATISTICAL REASONING – ANALYZE DATA

  • SR.DSRc.4 Analyze data by selecting and using appropriate graphical and numerical methods.

DATA & STATISTICAL REASONING – INTERPRET RESULTS

  • SR.DSRd.5 Interpret the results of the analysis, making connections to the formulated statistical investigative question.

MATHEMATICAL MODELING

  • SR.MM.1.1 Explain contextual, mathematical problems using a mathematical model.
  • SR.MM.1.2 Create mathematical models to explain phenomena that exist in the natural sciences, social sciences, liberal arts, fine and performing arts, and/or the humanities.
  • SR.MM.1.3 Using abstract and quantitative reasoning, make decisions about information and data from a real-life situation.
  • SR.MM.1.4 Use various mathematical representations and structures with this information to represent and solve real-life problems.