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Skills available for West Virginia eighth-grade math standards

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8.M.1.HS8.RBQ Relationships Between Quantities

8.M.1HS8.LER Linear and Exponential Relationships

8.M.1HS8.RWE Reasoning with Equations

8.M.1HS8.DST Descriptive Statistics

  • 8 Summarize, represent, and interpret data on a single count or measurement variable

    • 8.M.1HS8.DST.1 Represent data with plots on the real number line (dot plots, histograms, and box plots).

    • 8.M.1HS8.DST.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.

    • 8.M.1HS8.DST.3 Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers).

    • 8.M.1HS8.DST.4 construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities. Describe patterns such as clustering, outliers, positive or negative association, linear association and nonlinear association.

    • 8.M.1HS8.DST.5 know that straight lines are widely used to model relationships between two quantitative variables. For scatter plots that suggest a linear association, informally fit a straight line and informally assess the model fit by judging the closeness of the data points to the line.

    • 8.M.1HS8.DST.6 use the equation of a linear model to solve problems in the context of bivariate measurement data, interpreting the slope and intercept.

    • 8.M.1HS8.DST.7 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.

  • 8 Summarize, represent, and interpret data on two categorical and quantitative variables

    • 8.M.1HS8.DST.8 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.

    • 8.M.1HS8.DST.9 Represent data on two quantitative variables on a scatter plot, and describe how the variables are related.

  • 8 Interpret linear models

    • 8.M.1HS8.DST.10 Interpret the slope (rate of change) and the intercept (constant term) of a linear model in the context of the data.

    • 8.M.1HS8.DST.11 Compute (using technology) and interpret the correlation coefficient of a linear fit.

    • 8.M.1HS8.DST.12 Distinguish between correlation and causation.

8.M.1HS8.CPC Congruence, Proof, and Constructions

8.M.1HS8.CAG Connecting Algebra and Geometry through Coordinates