Download Analyzing and Interpeting Data

Science Rubric
Enduring Skill(s): Analyzing & Interpreting Data
GRADE: MS
Performance level (lowest
leading to proficiency):
Criteria:
Organize and use data
to support claims or
conclusions.
Criteria:
Analyze data to make
sense of phenomena
or determine an
optimal design
solution.
Criteria:
Use digital tools to
analyze and interpret
data.
Performance Level (leading
to proficiency):
Performance Level
(at proficiency):
Performance Level
(beyond proficiency):
No Mastery
Record information and
use or share pictures
and/or drawings and/or
writing or observations.
Partial Mastery
Represent data in tables
and/or various graphical
displays (bar graphs,
pictographs and/or pie
charts to reveal patterns.
Mastery
Construct, analyze, and/or
interpret graphical displays
of data (charts, graphs,
and/or tables) to identify
relationships in data.
Exceptional
Analyze data using tools,
technologies, and/or
models in order to make
valid and reliable scientific
claims or determine an
optimal design solution.
Use observations to
describe patterns and/or
relationships in the natural
and designed world(s) in
order to answer scientific
questions and solve
problems. Analyze data
from tests of an object to
determine if it works as
intended.
Analyze and interpret data
to make sense of
phenomena, using logical
reasoning, mathematics,
and/or computation.
Compare and contrast data
collected by different
groups in order to discuss
similarities and differences
in their findings.
Analyze and interpret data to
provide evidence for
phenomena. Apply concepts
of statistics and probability
to analyze and characterize
data. Define an optimal
operational range for a
proposed object, tool,
process or system that best
meets criteria for success.
Apply concepts of
statistics and probability
to scientific and
engineering questions and
problems. Evaluate the
impact of new data on a
working explanation or
model or a proposed
process or system.
Use pictures or drawings of
observations to interpret
data.
Use various graphical
displays (bar graphs,
pictographs, and/or pie
charts) to reveal patterns
and interpret data.
Use digital tools (calculator,
excel, lapquest) to analyze
and interpret data.
Use digital tools,
technologies, and/or
models to analyze and
interpret models.