Adaptive Perseverance: Continue analyzing and interpreting data despite challenges.
Learner's Mindset: Explore various methods of statistical analysis and their applications.
Critical Thinking: Evaluate and interpret statistical data and relationships.
Communication: Clearly present data analysis and interpretations using appropriate graphs and statistical measures.
What are the measures of central tendency, and how are they calculated and interpreted?
How do different types of graphs represent data, and what insights can they provide?
What is the significance of correlation coefficients and linear regression in analyzing relationships between variables?
Students are able to convert quantitative problems that use words into mathematical expressions.
CCSS.MATH.CONTENT.HSS.ID.A.1: Represent data with plots on the real number line (dot plots, histograms, and box plots).
CCSS.MATH.CONTENT.HSS.ID.C.8: Compute and interpret the correlation coefficient of a linear fit.
CCSS.MATH.CONTENT.HSS.ID.C.9: Distinguish between correlation and causation.
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