How can one fact predict another?
Learning objectives, requirement tasks, and mastery assessments  Distinguish different types of two variable scenarios and make an intuitive prediction of causality
 Task:
 Participate in backchannel discussion about a TED Talk on statistics in the criminal justice system
 Participate in second backchannel discussion about a TED Talk on statistical analysis of politics and racism
 Mastery quiz:
 Understand the meaning of independence/dependence of variables
 Understand the difference between correlation and causation and why variables that are correlated may have lurking variables that cause both
 Mastery freeresponse topics:
 Goal of one vs. twovariable stats
 Correlation vs. causation
 Application of correlation to the workplace
 Use graphical methods to make a prediction on two variables' independence
 Task:
 Analyze the difference in death rates of historical hurricanes based on [variable will be described in class]. Justify your results (individually) in writing in a Google Doc.
 Mastery quiz:
 Using a bar graph or a two way table, identify when two categorical variables are dependent
 Using stacked box plots or the means of different groups, identify when a categorical variable and a quantitative variable are dependent
 Using a scatter plot, identify when two quantitative variables are dependent
 In pairs, create a 2 minute video based on Gapminder.org or Tableau visualizations with two variables of your choice in order to explain patterns across nations.
 Task:
 Select a visualization tool and choose two variables with an interesting correlation. Explain the variables, their relationship, potential causation, and interesting outliers. Discuss changes over time.
 Mastery freeresponse topics:
 How to develop a compelling narrative that explains a data relationship
 What your data proves about correlation and about causation
 How to effectively display many variables simultaneously, examples from project
 Use of multiple rounds of student and teacher feedback
