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Common Core: Standard
Common Core: ELA
Common Core: Math
Subject: Math
81 Results
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- Algebra I Module 2: Descriptive Statistics In this module, students reconnect with and deepen their understanding of statistics and probability concepts first introduced in Grades 6, 7, and 8. ...
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- Algebra I Module 5: A Synthesis of Modeling with Equations and Functions In Module 5, students synthesize what they have learned during the year about functions to select the correct function type in...
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- Student Outcomes Students use informal language to describe the shape, center, and variability of a distribution based on a dot plot, histogram, or box plot. Students recognize that a first step in...
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- 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...
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- 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...
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- 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...
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- Student Outcomes Students calculate the standard deviation for a set of data. Students interpret the standard deviation as a typical distance from the mean.
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- 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.
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- Student Outcomes Students explain why a median is a better description of a typical value for a skewed distribution. Students calculate the 5-number summary of a data set. Students construct a box...
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- 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...
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- Student Outcomes Students distinguish between categorical data and numerical data. Students summarize data on two categorical variables collected from a sample using a two-way frequency table.
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- Student Outcomes Students summarize data on two categorical variables collected from a sample using a two-way frequency table. Given a two-way frequency table, students construct a relative frequency...
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- Student Outcomes Students calculate and interpret conditional relative frequencies from two-way frequency tables. Students evaluate conditional relative frequencies as an indication of possible...
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- 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.
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- 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....
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- Student Outcomes Students determine the least-squares regression line from a given set of data using technology. Students use the least-squares regression line to make predictions.
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- Student Outcomes Students use the least-squares line to predict values for a given data set. Students use residuals to evaluate the accuracy of predictions based on the least-squares line.
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- Student Outcomes Students use the least-squares line to predict values for a given data set. Students use residuals to evaluate the accuracy of predictions based on the least-squares line.
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- 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...
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- 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...
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- 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...
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- 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...
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- 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...
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- 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...