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

[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.*

Resources:


  • Mean
    A measure of center in a set of numerical data, computed by adding the values in a list and then dividing by the number of values in the list. Example: For the data set {1, 3, 6, 7, 10, 12, 14, 15, 22, 120}, the mean is 21.

Predecessor Standards:

  • 6.SP.A.2
    Understand that a set of data collected to answer a statistical question has a distribution, which can be described by its center (median, mean, and/or mode), spread (range, interquartile range), and overall shape.
  • 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.
  • 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:

  • MI.S-ID.A.1
    Represent data with plots on the real number line (dot plots, histograms, and box plots).*
  • 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.*
  • MI.S-ID.B.5
    Summarize categorical data for two categories in two-way frequency tables. Interpret relative frequencies in the context of the data (including joint, marginal, and conditional relative frequencies). Recognize possible associations and trends in the data.*