Standards Map

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

Domain - Interpreting Categorical and Quantitative Data

Cluster - Summarize, represent, and interpret data on two categorical and quantitative variable.

[AI.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.*

Resources:


  • Relative frequency
    The empirical counterpart of probability. If an event occurs N' times in N trials, its relative frequency is N'∕N.

Predecessor Standards:

  • 8.SP.A.4
    Understand that patterns of association can also be seen in bivariate categorical data by displaying frequencies and relative frequencies in a two-way table. Construct and interpret a two-way table summarizing data on two categorical variables collected from the same subjects. Use relative frequencies calculated for rows or columns to describe possible association between the two variables. For example, collect data from students in your class on whether or not they have a curfew on school nights and whether or not they have assigned chores at home. Is there evidence that those who have a curfew also tend to have chores?

Successor Standards:

No Successor Standards found.

Same Level Standards:

  • AII.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.*