Scientific and engineering practices. The student analyzes and interprets data to derive meaning, identify features and patterns, and discover relationships or correlations to develop evidence-based arguments or evaluate designs.
Knowledge and Skills Statement
The further explanation is designed to be a resource for educators that helps them better understand the topic their students are learning. Further explanations may be written at a more complex level than would be expected for students at the grade level.
Sources of error in data could include human errors such as failing to follow instructions accurately, not following procedures for an investigation, or misreading a measurement and experimental errors such as simplifying external environmental factors (friction), equipment calibration, contamination, or sufficient quantity or range of data.
Research
Baker-Lawrence, Anika Rae, "An Investigation into Instructional Support for Data Analysis in High School Science Inquiry" (2013). PhD. Paper 1534. https://doi.org/10.15760/etd.1534
Summary: The results of this study indicate that students struggle to produce proficient analysis and interpretations of data. The areas of student struggle were the areas that required higher-order thinking: analyzing results, drawing conclusions, and communicating results. Furthermore, this research discusses areas of data analysis instruction that may benefit from professional development opportunities.