8.SP.A.2: Know that See the skills and straight lines are widely knowledge that used to model relationships are stated in the between two quantitative Standard. 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.SP.A.3: Use the equation Ability to bivariate measurement data: This refers to a relationship between two sets of data that integrate of a linear model to solve can be evaluated by scales, as in a scatter plot. technology and problems in the context of to relate the bivariate measurement scenarios to data, interpreting the slope authentic and intercept. student-centered situations 8.SP.A.4: Understand that Ability to bivariate categorical data: This refers to a relationship between two sets of data that are integrate descriptive. Analysis of categorical data generally involves the use of data tables. A patterns of association can technology and two-way presents categorical data by counting the number of observations that also be seen in bivariate to relate the fall into each group for two variables, one divided into rows and the other divided categorical data by scenarios to into columns. For example, a survey was conducted of a group of 20 individuals displaying frequencies and authentic who were asked to identify their hair and eye color. A two-way table presenting the relative frequencies in a student-centered results might appear as follows: two-way table. Construct situations HAIR AND EYE COLOR and interpret a two-way table summarizing data on
8.SP.A.2: 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. See the skills and knowledge that are stated in the Standard. 8.SP.A.3: Use the equation of a linear model to solve problems in the context of bivariate measurement data, interpreting the slope and intercept. Ability to integrate technology and to relate the scenarios to authentic student-centered situations bivariate measurement data: This refers to a relationship between two sets of data that can be evaluated by scales, as in a scatter plot. 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 Ability to integrate technology and to relate the scenarios to authentic student-centered situations bivariate categorical data: This refers to a relationship between two sets of data that are descriptive. Analysis of categorical data generally involves the use of data tables. A two-way presents categorical data by counting the number of observations that fall into each group for two variables, one divided into rows and the other divided into columns. For example, a survey was conducted of a group of 20 individuals who were asked to identify their hair and eye color. A two-way table presenting the results might appear as follows: HAIR AND EYE COLOR
Unit_8_SP_A_1_4_Associations_in_Bivariate_Data_Final.docx