MMA.MATH.10.B

Communicate methods used, analyses conducted, and conclusions drawn for a data-analysis project through the use of one or more of the following: a written report, a visual display, an oral report, or a multi-media presentation.

Mathematical Models with Applications · Texas Essential Knowledge and Skills (TEKS) · TEKS 2012

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Vocabulary
methodsanalysesconclusionsdata-analysis projectwritten reportvisual displayoral reportmulti-media presentation
Skills
  • communicate (methods used in a data-analysis project) #dok2
  • communicate (analyses conducted in a data-analysis project) #dok2
  • communicate (conclusions drawn from a data-analysis project) #dok2
  • present (findings using written, visual, oral, or multi-media formats) #dok3
  • select (appropriate methods of communication for different audiences or purposes) #dok3
Learning Targets
  • I can communicate the methods used in a data-analysis project. #dok2
  • I can communicate the analyses conducted during a data-analysis project. #dok2
  • I can communicate the conclusions drawn from a data-analysis project. #dok2
  • I can present project findings using a written report, visual display, oral report, or multi-media presentation. #dok3
  • I can choose the most effective way to communicate results based on audience or purpose. #dok3
Big Ideas
  • Clear communication of mathematical reasoning and results is vital for sharing findings from a data-analysis project.
  • Different methods of reporting (written, visual, oral, or multi-media) allow for flexibility in presenting results and engaging various audiences.
Essential Questions
  • Why is it important to clearly communicate the methods and results of a data-analysis project?
  • What are the strengths and limitations of written, visual, oral, and multi-media presentations?
  • How can you decide which communication format is best for a given audience or purpose?
  • What details must be included when communicating the analyses and conclusions of your project?
  • How does effective communication influence the understanding and impact of your data-analysis project?