Standards Detail
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.3
Investigate chance processes and develop, use, and evaluate probability models.
-
Anchor Descriptor - M07.D-S.3.1 Predict or determine the likelihood of outcomes.
-
Eligible Content - M07.D-S.3.1.1 Predict or determine whether some outcomes are certain, more likely, less likely, equally likely, or impossible (i.e., a probability near 0 indicates an unlikely event, a probability around 1/2 indicates an event that is neither unlikely nor likely, and a probability near 1 indicates a likely event).
-
Alternate Eligible Content - M07.D-S.3.1.1a Identify the probability of events occurring as possible/impossible or likely/unlikely.
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.
-
-
-
Anchor Descriptor - M07.D-S.3.2 Use probability to predict outcomes.
-
Eligible Content - M07.D-S.3.2.1 Determine the probability of a chance event given relative frequency. Predict the approximate relative frequency given the probability. Example: When rolling a number cube 600 times, predict that a 3 or 6 would be rolled roughly 200 times but probably not exactly 200 times.
-
Eligible Content - M07.D-S.3.2.2 Find the probability of a simple event, including the probability of a simple event not occurring. Example: What is the probability of not rolling a 1 on a number cube?
-
Eligible Content - M07.D-S.3.2.3 Find probabilities of independent compound events using organized lists, tables, tree diagrams, and simulation.
-