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Algebra Applies to the Real World? No Way!
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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.

Subject:
Mathematics
Material Type:
Activity/Lab
Lesson Plan
Provider:
Utah Education Network
Author:
Utah LessonPlans
Date Added:
02/26/2019
Algebra II Module 1, Topic A, Lesson 3
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CC BY-NC-SA
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Students develop a division algorithm for polynomials by recognizing that division is the inverse operation of multiplication.

Subject:
Math 3
Mathematics
Material Type:
Lesson Plan
Author:
EngageNY
Date Added:
02/22/2020
Algebra II Module 2, Topic B, Lesson 12
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CC BY-NC-SA
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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.

Subject:
Math 3
Mathematics
Material Type:
Lesson Plan
Author:
EngageNY
Date Added:
02/23/2020
Algebra II Module 2, Topic B, Lesson 13
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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.

Subject:
Mathematics
Material Type:
Lesson Plan
Provider:
EngageNY
Date Added:
08/15/2018
Algebra I Module 1, Topic A, Lesson 5
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CC BY-NC-SA
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Students interpret the meaning of the point of intersection of two graphs and use analytic tools to find its coordinates.

Subject:
Math 1
Mathematics
Material Type:
Lesson Plan
Author:
Engage NY
Date Added:
01/31/2020
Algebra I Module 2, Topic C, Lesson 10
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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.

Subject:
Mathematics
Material Type:
Lesson Plan
Provider:
EngageNY
Date Added:
08/15/2018
Algebra I Module 2, Topic C, Lesson 11
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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.

Subject:
Mathematics
Material Type:
Lesson Plan
Provider:
EngageNY
Date Added:
08/15/2018
Algebra I Module 2, Topic C, Lesson 9
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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.

Subject:
Mathematics
Material Type:
Lesson Plan
Provider:
EngageNY
Date Added:
08/15/2018
Algebra I Module 2, Topic D, Lesson 12
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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.

Subject:
Mathematics
Material Type:
Lesson Plan
Provider:
EngageNY
Date Added:
08/15/2018
Algebra I Module 2, Topic D, Lesson 13
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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.

Subject:
Mathematics
Material Type:
Lesson Plan
Provider:
EngageNY
Date Added:
08/15/2018
Algebra I Module 2, Topic D, Lesson 14
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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.

Subject:
Mathematics
Material Type:
Lesson Plan
Provider:
EngageNY
Date Added:
08/13/2018
Algebra I Module 2, Topic D, Lesson 15
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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.

Subject:
Mathematics
Material Type:
Lesson Plan
Provider:
EngageNY
Date Added:
08/13/2018
Algebra I Module 2, Topic D, Lesson 16
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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.

Subject:
Mathematics
Material Type:
Lesson Plan
Provider:
EngageNY
Date Added:
08/13/2018
Algebra I Module 2, Topic D, Lesson 19
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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.

Subject:
Mathematics
Material Type:
Lesson Plan
Provider:
EngageNY
Date Added:
08/15/2018
Algebra I Module 2, Topic D, Lesson 20
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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.

Subject:
Mathematics
Material Type:
Lesson Plan
Provider:
EngageNY
Date Added:
08/15/2018