Search using a saved search preference or by selecting one or more content areas and grade levels to view standards, related Eligible Content, assessments, and materials and resources.
Limit your search to no more than three grades, subjects, or courses, and ensure that you have selected at least one grade and subject or one course.
Subject Area - CC.2:
Mathematics
Mathematics
- Standard Area - CC.2.4: Measurement, Data and Probability
- Grade Level - CC.2.4.7: GRADE 7
Standard - CC.2.4.7.B.2
Draw informal comparative inferences about two populations.
-
Anchor Descriptor - M07.D-S.2.1 Use statistical measures to compare two numerical data distributions.
-
Eligible Content - M07.D-S.2.1.1 Compare two numerical data distributions using measures of center and variability. Example 1: The mean height of players on the basketball team is 10 cm greater than the mean height of players on the soccer team. This difference is equal to approximately twice the variability (mean absolute deviation) on either team. On a line plot, note the difference between the two distributions of heights. Example 2: Decide whether the words in a chapter of a seventh grade science book are generally longer than the words in a chapter of a fourth grade science book.
-
Alternate Eligible Content - M07.D-S.2.1.1a Compare two sets of data within a single pictograph, line plot, or bar graph.
Alternate Eligible Content is designed for students assessed using the PA Alternate System of Assessment (PASA). Essentialized Example resources assist teachers in designing instruction that reduces content complexity while maintaining alignment to academic standards. -
Alternate Eligible Content - M07.D-S.2.1.1b Use measures of central tendency to interpret data, including overall patterns in the data.
Alternate Eligible Content is designed for students assessed using the PA Alternate System of Assessment (PASA). Essentialized Example resources assist teachers in designing instruction that reduces content complexity while maintaining alignment to academic standards.
-
-
