62 | eUreka Math algebra I StUdy gUIde
Student Outcomes
Lesson 25: Solving Problems in Two Ways—Rates and Algebra
● (^) Students investigate a problem that can be solved by reasoning quantitatively and by
creating equations in one variable.
● (^) Students compare the numerical approach to the algebraic approach.
Lesson 26: Recursive Challenge Problem—The Double and Add 5 Game
● (^) Students learn the meaning and notation of recursive sequences in a modeling setting.
● (^) Following the modeling cycle, students investigate the Double and Add 5 Game in a
simple case in order to understand the statement of the main problem.
Lesson 27: Recursive Challenge Problem—The Double and Add 5 Game
● (^) Students learn the meaning and notation of recursive sequences in a modeling setting.
● (^) Students use recursive sequences to model and answer problems.
● (^) Students create equations and inequalities to solve a modeling problem.
● (^) Students represent constraints by equations and inequalities and interpret solutions as
viable or non-viable options in a modeling context.
Lesson 28: Federal Income Tax
● (^) Students create equations and inequalities in one variable and use them to solve
problems.
● (^) Students create equations in two or more variables to represent relationships between
quantities and graph equations on coordinate axes with labels and scales.
● (^) Students represent constraints by inequalities and interpret solutions as viable or
non-viable options in a modeling context.
Module 2: descRiptiVe statistics
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In this module, students reconnect with and deepen their understanding of statistics and
probability concepts first introduced in Grades 6, 7, and 8. There is variability in data, and this
variability often makes learning from data challenging. Students develop a set of tools for
understanding and interpreting variability in data and begin to make more informed decisions
from data. Students work with data distributions of various shapes, centers, and spreads.
Measures of center and measures of spread are developed as ways of describing distributions.
The choice of appropriate measures of center and spread is tied to distribution shape.
Symmetric data distributions are summarized by the mean and mean absolute deviation, or
standard deviation. The median and the interquartile range summarize data distributions that
are skewed. Students calculate and interpret measures of center and spread and compare
data distributions using numerical measures and visual representations.