(SP) Statistics and Probability Categories All categories Not categorized Prioritized Standards (EE) Expressions and Equations (F) Functions (G) Geometry (NS) The Number System (SP) Statistics and Probability

Statistics and Probability

• Investigate patterns of association in bivariate data.

Standards in this Domain

• MAT-08.SP.01 - 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.
• MAT-08.SP.02 - 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.
• MAT-08.SP.03 - 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.
• MAT-08.SP.04 - 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?

Calculation Method for Domains

Domains are larger groups of related standards. The Domain Grade is a calculation of all the related standards. Click on the standard name below each Domain to access the learning targets and rubrics/ proficiency scales for individual standards within the domain.

MAT-08.SP.01

Domain (SP) Statistics and Probability
Cluster: Investigate patterns of association in bivariate data

MAT-08.SP.01 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.

Student Learning Targets:

• I can
• I can

• I can
• I can

• I can
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Product Targets

• I can
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Rubric - Resources

Comparison to ND 2005 Mathematics Standards/Benchmark

***MAT-8.3.2 Collect, organize, and display data using scatter and stem-and-leaf plot

***MAT-9-10.3.2. Interpret a given visual representation (i.e., circle graphs, bar graphs, histograms, stem-and-leaf plots, box-and-whisker plots, and scatter plots) of a set of data

• *** Indicates strong content alignment from Common Core Standards to North Dakota Content Standards
• ** Indicates partial content alignment from Common Core Standards to North Dakota Content Standards
• * Indicates weak content alignment from Common Core Standards to North Dakota Content Standards

MAT-08.SP.02

Domain (SP) Statistics and Probability
Cluster: Investigate patterns of association in bivariate data

MAT-08.SP.02 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.

Student Learning Targets:

• I can
• I can

• I can
• I can

• I can
• I can

Product Targets

• I can
• I can
Rubric - Resources

Comparison to ND 2005 Mathematics Standards/Benchmark

**MAT-11-12.3.4 Given a set of data exhibiting a linear trend, approximate an equation for the line of best fit (with or without technology) and use that model to make predictions

• *** Indicates strong content alignment from Common Core Standards to North Dakota Content Standards
• ** Indicates partial content alignment from Common Core Standards to North Dakota Content Standards
• * Indicates weak content alignment from Common Core Standards to North Dakota Content Standards

MAT-08.SP.03

Domain (SP) Statistics and Probability
Cluster: Investigate patterns of association in bivariate data

MAT-08.SP.03 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.

Student Learning Targets:

• I can
• I can

• I can
• I can

• I can
• I can

Product Targets

• I can
• I can
Rubric - Resources

Comparison to ND 2005 Mathematics Standards/Benchmark

• *** Indicates strong content alignment from Common Core Standards to North Dakota Content Standards
• ** Indicates partial content alignment from Common Core Standards to North Dakota Content Standards
• * Indicates weak content alignment from Common Core Standards to North Dakota Content Standards

MAT-08.SP.04

Domain (SP) Statistics and Probability
Cluster: Investigate patterns of association in bivariate data

MAT-08.SP.04 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?

Student Learning Targets:

• I can
• I can

• I can
• I can

• I can
• I can

Product Targets

• I can
• I can
Rubric - Resources

Comparison to ND 2005 Mathematics Standards/Benchmark