These questions can be used to discuss the following economic concepts in …
These questions can be used to discuss the following economic concepts in the book Alexander, Who Used to Be Rich Last Sunday: opportunity cost, saving, savings goal, and spending.
In this lesson, students write and evaluate algebraic expressions at specific values. …
In this lesson, students write and evaluate algebraic expressions at specific values. They will also use variables to represent numbers and write expressions when solving a real-world or mathematical problem.
Students review how changing the parameters A, ω, h, and k in …
Students review how changing the parameters A, ω, h, and k in f(x) = A sin(ω(x - h)) + k affects the graph of the sine function. Students examine the example of the Ferris wheel, using height, distance from the ground, period, and so on, to write a function of the height of the passenger cars in terms of the sine function: f(x) = A sin(ω(x - h)) + k.
In this lesson, students model cyclical phenomena from biological and physical science …
In this lesson, students model cyclical phenomena from biological and physical science using trigonometric functions. Students understand that some periodic behavior is too complicated to be modeled by simple trigonometric functions.
In this lesson, students summarize data on two categorical variables collected from …
In this lesson, 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 table and interpret relative frequencies.
In this lesson, students summarize data on two categorical variables collected from …
In this lesson, 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 table and interpret relative frequencies.
In this lesson, students distinguish between categorical data and numerical data. Students …
In this lesson, 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.
In this lesson, students distinguish between scatter plots that display a relationship …
In this lesson, 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.
In this lesson, students distinguish between scatter plots that display a relationship …
In this lesson, 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. Students use an equation given as a model for a nonlinear relationship to answer questions based on an understanding of the specific equation and the context of the data.
In this lesson, students determine the least-squares regression line from a given …
In this lesson, 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.
In this lesson, students use the least-squares line to predict values for …
In this lesson, 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.
In this lesson, students use the least-squares line to predict values for …
In this lesson, 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.
In this lesson, students use technology to determine the value of the …
In this lesson, 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 strength and direction of a linear relationship. Students explain why correlation does not imply causation.
In this lesson, students use data to develop a poster that involves …
In this lesson, 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 interpreting the correlation coefficient.
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