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 In Topic D, students analyze relationships between two quantitative variables using scatterplots and by summarizing linear relationships using the least squares regression line. Models are proposed...

 In Topic C, students reconnect with previous work in Grade 8 involving categorical data. Students use a twoway frequency table to organize data on two categorical variables. Students calculate the...

 In Topic B, students reconnect with methods for describing variability first seen in Grade 6. Topic B deepens students’ understanding of measures of variability by connecting a measure of the center...

 In Topic A, students observe and describe data distributions. They reconnect with their earlier study of distributions in Grade 6 by calculating measures of center and describing overall patterns or...

 Student Outcomes Students use linear, quadratic, and exponential functions to model data from tables, and choose the regression most appropriate to a given context. They use the correlation...

 Student Outcomes Students use data to develop a poster that involves the focus standards. Students construct a scatter plot of the data. Students analyze their data, examining the residual plot, and...

 Student Outcomes Students use technology to determine the value of the correlation coefficient for a given data set. Students interpret the value of the correlation coefficient as a measure of...

 Student Outcomes Students use a graphing calculator to construct the residual plot for a given data set. Students use a residual plot as an indication of whether the model used to describe the...

 Student Outcomes Students use a graphing calculator to construct the residual plot for a given data set. Students use a residual plot as an indication of whether the model used to describe the...

 Student Outcomes Students use the leastsquares line to predict values for a given data set. Students use residuals to evaluate the accuracy of predictions based on the leastsquares line.

 Student Outcomes Students use the leastsquares line to predict values for a given data set. Students use residuals to evaluate the accuracy of predictions based on the leastsquares line.

 Student Outcomes Students determine the leastsquares regression line from a given set of data using technology. Students use the leastsquares regression line to make predictions.

 Student Outcomes Students distinguish between scatter plots that display a relationship that can be reasonably modeled by a linear equation and those that should be modeled by a nonlinear equation....

 Student Outcomes Students distinguish between scatter plots that display a relationship that can be reasonably modeled by a linear equation and those that should be modeled by a nonlinear equation.

 Student Outcomes Students calculate and interpret conditional relative frequencies from twoway frequency tables. Students evaluate conditional relative frequencies as an indication of possible...

 Student Outcomes Students summarize data on two categorical variables collected from a sample using a twoway frequency table. Given a twoway frequency table, students construct a relative frequency...

 Student Outcomes Students distinguish between categorical data and numerical data. Students summarize data on two categorical variables collected from a sample using a twoway frequency table.

 Student Outcomes Students compare two or more distributions in terms of center, variability, and shape. Students interpret a measure of center as a typical value. Students interpret the IQR as a...

 Student Outcomes Students explain why a median is a better description of a typical value for a skewed distribution. Students calculate the 5number summary of a data set. Students construct a box...

 Student Outcomes Students calculate the standard deviation of a sample with the aid of a calculator. Students compare the relative variability of distributions using standard deviations.

 Student Outcomes Students calculate the standard deviation for a set of data. Students interpret the standard deviation as a typical distance from the mean.

 Student Outcomes Students calculate the deviations from the mean for two symmetrical data sets that have the same means. Students interpret deviations that are generally larger as identifying...

 Student Outcomes Students estimate the mean and median of a distribution represented by a dot plot or a histogram. Students indicate that the mean is a reasonable description of a typical value for a...

 Student Outcomes Students construct a dot plot from a data set. Students calculate the mean of a data set and the median of a data set. Students observe and describe that measures of center (mean and...