Standards Detail
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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.1
Draw inferences about populations based on random sampling concepts.
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Anchor Descriptor - M07.D-S.1.1 Use random samples.
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Eligible Content - M07.D-S.1.1.1 Determine whether a sample is a random sample given a real-world situation.
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Eligible Content - M07.D-S.1.1.2 Use data from a random sample to draw inferences about a population with an unknown characteristic of interest. Example 1: Estimate the mean word length in a book by randomly sampling words from the book. Example 2: Predict the winner of a school election based on randomly sampled survey data.
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Standard - CC.2.4.7.B.2
Draw informal comparative inferences about two populations.
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Anchor Descriptor - M07.D-S.2.1 Use statistical measures to compare two numerical data distributions.
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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.
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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.
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Standard - CC.2.4.7.B.3
Investigate chance processes and develop, use, and evaluate probability models.
- Standard Area - CC.2.4: Measurement, Data and Probability
- Assessment Anchor - A1.2.3:
Data Analysis
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Eligible Content - A1.2.3.1.1 Calculate and/or interpret the range, quartiles and interquartile range of data.
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Eligible Content - A1.2.3.2.1 Estimate or calculate to make predictions based on a circle, line, bar graph, measures of central tendency, or other representations.
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Eligible Content - A1.2.3.2.2 Analyze data, make predictions, and/or answer questions based on displayed data (box-and-whisker plots, stem-and-leaf plots, scatter plots, measures of central tendency, or other representations).
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Eligible Content - A1.2.3.2.3 Make predictions using the equations or graphs of best-fit lines of scatter plots.
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Eligible Content - A1.2.3.3.1 Find probabilities for compound events (e.g., find probability of red and blue, find probability of red or blue) and represent as a fraction, decimal or percent).
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Anchor Descriptor - M07.D-S.3.1 Predict or determine the likelihood of outcomes.
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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).
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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.
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Anchor Descriptor - M07.D-S.3.2 Use probability to predict outcomes.
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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.
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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?
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Eligible Content - M07.D-S.3.2.3 Find probabilities of independent compound events using organized lists, tables, tree diagrams, and simulation.
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