Standards Map

Mathematics > Course Model Algebra II (Traditional Pathway) > Making Inferences and Justifying Conclusions
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Mathematics | Course : Model Algebra II (Traditional Pathway)

Domain - Making Inferences and Justifying Conclusions

Cluster - Make inferences and justify conclusions from sample surveys, experiments, and observational studies.

[AII.S-IC.B.6] - Evaluate reports based on data.*

Resources:

    Predecessor Standards:

    • 6.SP.B.5
      Summarize numerical data sets in relation to their context, such as by.
    • 6.SP.B.5.a
      Reporting the number of observations.
    • 6.SP.B.5.b
      Describing the nature of the attribute under investigation, including how it was measured and its units of measurement.
    • 6.SP.B.5.c
      Giving quantitative measures of center (median, and/or mean) and variability (range and/or interquartile range), as well as describing any overall pattern and any striking deviations from the overall pattern with reference to the context in which the data were gathered.
    • 6.SP.B.5.d
      Relating the choice of measures of center and variability to the shape of the data distribution and the context in which the data were gathered.

    Successor Standards:

    No Successor Standards found.

    Same Level Standards:

    • AI.S-ID.C.9
      Distinguish between correlation and causation.
    • AII.S-IC.B.3
      Recognize the purposes of and differences among sample surveys, experiments, and observational studies; explain how randomization relates to each.*
    • AII.S-IC.B.4
      Use data from a sample survey to estimate a population mean or proportion; develop a margin of error through the use of simulation models for random sampling.*
    • AII.S-IC.B.5
      Use data from a randomized experiment to compare two treatments; use simulations to decide if differences between parameters are significant.*
    • HS.ESS.3.5
      Analyze results from global climate models to describe how forecasts are made of the current rate of global or regional climate change and associated future impacts to Earth systems. Clarification Statement: Climate model outputs include both climate changes (such as precipitation and temperature) and associated impacts (such as on sea level, glacial ice volumes, and atmosphere and ocean composition).
    • HS.LS.2.2
      Use mathematical representations to support explanations that biotic and abiotic factors affect biodiversity, including genetic diversity within a population and species diversity within an ecosystem. Clarification Statements: Examples of biotic factors could include relationships among individuals (feeding relationships, symbiosis, competition) and disease. Examples of abiotic factors could include climate and weather conditions, natural disasters, and availability of resources. Examples of mathematical representations include finding the average, determining trends, and using graphical comparisons of multiple sets of data.
    • HS.LS.2.6
      Analyze data to show ecosystems tend to maintain relatively consistent numbers and types of organisms even when small changes in conditions occur but that extreme fluctuations in conditions may result in a new ecosystem. Construct an argument supported by evidence that ecosystems with greater biodiversity tend to have greater resistance to change and resilience. Clarification Statement: Examples of changes in ecosystem conditions could include modest biological or physical changes, such as moderate hunting or a seasonal flood; and extreme changes, such as volcanic eruption, fires, the decline or loss of a keystone species, climate changes, ocean acidification, or sea level rise.