Telling Stories with Univariate Data- Part 1 (Unit 2): Criteria and Feedback Rubric

Unit 2: Handouts 2 & 4

Unit 2: Criteria and Feedback Rubric

Telling Stories with Univariate Data (Part 1)

Handout 2: Telling Stories with Univariate Data (view, copy)

Handout 4: Telling Stories with Univariate Data: Visuals (view, copy)

Process for Rubric

Before beginning the project ask questions and clarify understanding of the criteria.
After completing the project, comment on areas for growth and strength and provide evidence (such as quote, a link to the handout/visual, etc.). If this is both self and peer feedback, use two different colors.
Once you or your peers have completed the feedback section, share this rubric with your instructor so they can provide their suggestions in the third column.
Make revisions to your project based on feedback from your peers and instructor. Add comments in the self/peer assessment column in a different color so your instructor can see any changes made.
When criteria has been met, your instructor will record a “yes” in the final column.
Be sure to complete the reflection question at the end of the rubric. This will help you make sense of your learnings and will be built upon in later units.

Note: For group projects, fill this out as a group. For individual projects, complete this individually.

High Quality Work

Feedback Note

Feedback is one of the most well-proven learning tools because it gives you a new perspective on your work and shows you areas of strength and growth. Your peers and your teacher believe you are capable of high-quality work and considering their feedback can help you achieve that. In turn, you can help your peers with their learning by providing them actionable, kind feedback.

Topical Outline

Criteria	Self/Peer Assessment (Evidence and comments for growth and strength areas)	Instructor Assessment (Evidence and comments for growth and strength areas)	Criteria Met Y/N
Asking Questions
Selects state and variable to explore Includes and defends conjecture of what the group expects based on evidence, prior knowledge, and more
Gathering and Organizing Data
Given in assignment
Modeling
Creates equations for summary statistics of mean, median, mode, range, max, min within spreadsheet (Using measures of center and spread to model data) Creates histogram and boxplot for state and variable, includes an image of these graphs (Data representations)
Analyzing and Synthesizing
Tells the story of the variable based on summary statistics (Distributions and normal distributions) Compares the story of the summary statistics to the conjecture Predicts and models what a histogram and box plot may look like for your data set Builds upon story using new information from plots Describes how visuals supported or refuted conjecture Indicates how graphs provide more robust information than summary statistics (Data representations)
Communicating
Includes slides to communicate the variables, state, summary statistics, story, comparison, and predicted histogram and boxplot Describes new learning and updated story from box plots and histograms- includes visuals
Ethical Considerations
Considers how using only the mean, median or mode may be misleading or misrepresenting the data story

Reflection:

After doing this project, list what concepts you feel confident in understanding and what still feels tricky or unclear.