A. Visualizing Data

Driving question
      How do we create a beautiful and honest visual display of categorical data for a topic and population of interest?

      Learning objectives, requirement tasks, and mastery assessments
        • Understand how different types of questions are represented in spreadsheets and graphs.
          • Task: 
            • Create and analyze a digital survey with text response, numerical response, scale, multiple choice, and true/false questions.
          • Mastery free-response questions:
            • Types of survey responses
            • Spreadsheet layout
            • Bar graphs, pie charts, and relative frequency

        • Identify a population of interest and develop a plan to collect data from a sample that yields varied, but unbiased, statistics.  Explain why this process works.
          • Task
            • Select a population, create a survey with categorical questions, collect data from an unbiased sample, and summarize your results in complete sentences.  Identify all sources of bias and how you know it is present.
          • Mastery quiz: 
            • Population/sample, parameter/statistic
            • Distinguishing between and executing random sampling methods
              • SRS
              • Stratified
              • Systematic
              • Cluster
            • Identifying bias, voluntary and convenience samples
          • Mastery free-response topics:
            • Sources of bias
            • Unbiased estimators
            • Non-response as bias
        • Estimate population proportions with a confidence interval using simulation.  Explain why this process works.
          • Task
            • Calculate a confidence interval using +/- form for each question on the survey.  Report each as modified forms of the sample results sentences.
          • Mastery quiz:
            • Calculating CI of proportion in StatKey
            • Changing CI to +/- form
            • Describing CI in a sentence
            • Explaining the purpose of CIs
            • CI's dependence on unbiased data
          • Mastery free-response questions:
            • Introduction to Central Limit Theorem and Law of Large Numbers
            • Trade-off of confidence level and interval width
            • Purpose of the margin of error

        • In a team, use an infographic to visually communicate the results of a survey and its implications.
          • Task:
            • Design an infographic based on the survey questions you asked in the previous assignment.  Create clear, visually appealing graphs for each question.  Create a layout that supports the narrative of the data.  Build the infographic digitally.  Present your design to other teams.
            • Rubric also assesses 
          • Mastery free-response questions:
            • Clear, beautiful, and and honest graphs of categorical data
            • Layout of text, summary stats, and graphs to tell the story of the data
            • Revision process
            • Techniques for team feedback