MATHEMATICS STANDARDS
GRADES 6-8
MATH GRADE 8: Statistics and Probability
Investigate patterns of
association in bivariate data.
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RESOURCES
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8.SP.1.
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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.
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Scatter Plots
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8.SP.2.
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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.
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8.SP.3.
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Use the equation of a linear model to solve
problems in the context of bivariate measurement data, interpreting the slope
and intercept. For example, in a linear model for a biology experiment,
interpret a slope of 1.5 cm/hr as meaning that an additional hour of sunlight
each day is associated with an additional 1.5 cm in mature plant height.
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8.SP.4.
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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?
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Two Way Tables
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