CHEM.2.B — Vertical Alignment
Vertical alignment shows student expectations in the same subject area at different grade levels that are related to or build upon one another.
analyze data by identifying significant features and patterns;
analyze data by identifying significant features and patterns;
analyze data by identifying significant features and patterns;
analyze data by identifying any significant features, patterns, or sources of error;
analyze data by identifying any significant features, patterns, or sources of error;
analyze data by identifying any significant features, patterns, or sources of error;
analyze data by identifying any significant descriptive statistical features, patterns, sources of error, or limitations;
analyze data by identifying any significant descriptive statistical features, patterns, sources of error, or limitations;
analyze data by identifying any significant descriptive statistical features, patterns, sources of error, or limitations;
analyze data by identifying significant statistical features, patterns, sources of error, and limitations;
CHEM.2.B
analyze data by identifying significant statistical features, patterns, sources of error, and limitations;
analyze data by identifying significant statistical features, patterns, sources of error, and limitations;
analyze data by identifying significant statistical features, patterns, sources of error, and limitations;
analyze data by identifying significant statistical features, patterns, sources of error, and limitations;
analyze data by identifying significant statistical features, patterns, sources of error, and limitations;
analyze data by identifying significant statistical features, patterns, sources of error, and limitations;
CHEM.2.B — Breakout of skills
Breakouts are the component parts that make up a student expectation. A breakout shows a distinct concept a student should know or a distinct skill that a student should be able to demonstrate.
The student is expected to
analyze data by identifying
limitations
patterns
significant statistical features
sources of error