Standards Map

Mathematics > Course Model Mathematics I (Integrated Pathway) > Interpreting Categorical and Quantitative Data
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Mathematics | Course : Model Mathematics I (Integrated Pathway)

Domain - Interpreting Categorical and Quantitative Data

Cluster - Summarize, represent, and interpret data on a single count or measurement variable. Use calculators, spreadsheets, and other technology as appropriate.

[MI.S-ID.A.1] - Represent data with plots on the real number line (dot plots, histograms, and box plots).*

Resources:


  • Box plot
    A graphic method that shows the distribution of data values by using the median, quartiles, and extremes of the data set. A box shows the middle 50% of the data.
  • Dot plot
  • Histogram
    A type of bar graph used to display the distribution of measurement data across a continuous range.

Predecessor Standards:

  • 6.SP.B.4
    Display numerical data in plots on a number line, including dot plots, histograms, and box plots.
  • 6.SP.B.4.a
    Read and interpret circle graphs.

Successor Standards:

No Successor Standards found.

Same Level Standards:

  • MI.S-ID.A.2
    Use statistics appropriate to the shape of the data distribution to compare center (median, mean) and spread (interquartile range, standard deviation) of two or more different data sets.*
  • MIII.S-ID.A.4
    Use the mean and standard deviation of a data set to fit it to a normal distribution and to estimate population percentages. Recognize that there are data sets for which such a procedure is not appropriate. Use calculators, spreadsheets, and tables to estimate areas under the normal curve.*