### Chapter 1: Representing Data

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### Chapter 2: Two-Variable Quantitative Data

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### Chapter 3: Multivariable Categorical Data

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### Chapter 4:Studies and Experiments

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### Chapter 5: Density Functions and Normal Distributions

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### Chapter 6: Discrete Probability Distributions

Section 6.1

6.1.1 Rigid Transformations

6.1.2 Rigid Transformations on a Coordinate Graph

6.1.3 Describing Transformations

6.1.4 Using Rigid Transformations

Section 6.2

6.2.1 Multiplication and Dilation

6.2.2 Dilations and Similar Figures

6.2.3 Identifying Similar Shapes

6.2.4 Similar Figures and Transformations

6.2.5 Working With Corresponding Sides

6.2.6 Solving Problems Involving Similar Shapes

Chapter Closure

### Chapter 7: Variability in Categorical Data Sampling

Section 7.1

7.1.1 Circle Graphs

7.1.2 Organizing Data in a Scatterplot

7.1.3 Identifying and Describing Association

Section 7.2

7.2.1 y = mx + b Revisited

7.2.2 Slope

7.2.3 Slope in Different Representations

7.2.5 Proportional Equations

Section 7.3

7.3.1 Using Equations to Make Predictions

7.3.2 Describing Association Fully

7.3.3 Association Between Categorical Variables

Chapter Closure

### Chapter 8: Drawing Conclusions From Categorical Data

Section 8.1

8.1.1 Patterns of Growth in Tables and Graphs

8.1.2 Compound Interest

8.1.3 Linear and Exponential Growth

Section 8.2

8.2.1 Exponents and Scientific Notation

8.2.2 Exponent Rules

8.2.3 Negative Exponents

8.2.4 Operations with Scientific Notation

Section 8.3

8.3.1 Functions in Graphs and Tables

Chapter Closure

### Chapter 9: Chi-Squared Inference Procedures

Section 9.1

9.1.1 Parallel Line Angle Pair Relationships

9.1.2 Finding Unknown Angles in Triangles

9.1.3 Exterior Angles in Triangles

9.1.4 AA Triangle Similarity

Section 9.2

9.2.1 Side Lengths and Triangles

9.2.2 Pythagorean Theorem

9.2.3 Understanding Square Root

9.2.4 Real Numbers

9.2.5 Applications of the Pythagorean Theorem

9.2.6 Pythagorean Theorem in Three Dimensions

9.2.7 Pythagorean Theorem Proofs

Chapter Closure

### Chapter 10: Drawing Conclusions From Quantitative Data

Section 10.1

10.1.1 Cube Roots

10.1.2 Surface Area and Volume of a Cylinder

10.1.3 Volumes of Cones and Pyramids

10.1.4 Volume of a Sphere

10.1.5 Applications of Volume

Chapter Closure

10.2.1 Indirect Measurement

10.2.2 Finding Unknowns

10.2.3 Analyzing Data to Identify a Trend

### Chapter 11:Comparing Means and Identifying Tests

1. Operations with Signed Fractions and Decimals

2. Evaluating Expressions and Using Order of Operations

3. Unit Rates and Proportions

4. Area and Perimeter of Circles and Composite Figures

5. Solving Equations

6. Multiple Representations of Linear Equations

7. Solving Equations with Fractions and Decimals  (Fraction Busters)

8. Transformations

9. Scatterplots and Association

### Chapter 12: Inference for Regression

Section 12.1

12.1.1 Sampling Distribution of the Slope of the Regression Line

12.1.2 Inference for the Slope of the Regression Line

Section 12.2

12.2.1 Transforming Data to Achieve Linearity

12.2.2 Using Logarithms to Achieve Linearity

### Chapter 13: ANOVA and Beyond!

Section 13.1

13.1.1 Modeling With the Chi-Squared Distribution

13.1.2 Introducing the F-Distribution

Section 13.2

13.2.1 One-Way ANOVA

Section 13.3

13.3.1 Sign Test: Introduction to Nonparametric Inference

13.3.2 Mood’s Median Test

### Chapter 1: Object Anatomy

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### Chapter 2:Using Objects

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### Chapter 3: Classes from Libraries

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### Chapter 4: Iteration and Decisions

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### Chapter 5: Arrays

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### Chapter 6: Two-Dimensional Arrays

Section 6.1

6.1.1 Comparing Expressions

6.1.2 Comparing Quantities with Variables

6.1.3 One Variable Inequalities

6.1.4 Solving One Variable Inequalities

Section 6.2

6.2.1 Solving Equations

6.2.2 Checking Solutions and the Distributive Property

6.2.3 Solving Equations and Recording Work

6.2.4 Using a Table to Write Equations from Word Problems

6.2.5 Writing and Solving Equations

6.2.6 Cases with Infinite or No Solutions

6.2.7 Choosing a Solving Strategy

Chapter Closure

### Chapter 7: The ArrayList and Sorting

Section 7.1

7.1.1 Distance, Rate, and Time

7.1.2 Scaling Quantities

7.1.3 Solving Problems Involving Percents

7.1.4 Equations with Fraction and Decimal Coefficients

7.1.5 Creating Integer Coefficients

7.1.6 Creating Integer Coefficients Efficiently

7.1.7 Percent Increase and Decrease

7.1.8 Simple Interest

Section 7.2

7.2.1 Finding Missing Information in Proportional Relationships

7.2.2 Solving Proportions

Chapter Closure

### Chapter 8: Inheritance and Polymorphism

Section 8.1

8.1.1 Measurement Precision

8.1.2 Comparing Distributions

Section 8.2

8.2.1 Representative Samples

8.2.2 Inference from Random Samples

Section 8.3

8.3.1 Introduction to Angles

8.3.2 Classifying Angles

8.3.3 Constructing Shapes

8.3.4 Building Triangles

Chapter Closure

### Chapter 9: Recursion

Section 9.1

9.1.1 Circumference, Diameter, and Pi

9.1.2 Area of Circles

9.1.3 Area of Composite Shapes

Section 9.2

9.2.1 Surface Area and Volume

9.2.2 Cross Sections

9.2.3 Volume of a Prism

9.2.4 Volume of Non-Rectangular Prisms

Chapter Closure

Section 9.3

9.3.1 Volume and Scaling

9.3.2 Using Multiple Math Ideas to Create an Interior Design

9.3.3 Applying Ratios

### Chapter 10: Additional Projects and Review

Checkpoint 1: Area and Perimeter of Polygons

Checkpoint 2: Multiple Representations of Portions

Checkpoint 3: Multiplying Fractions and Decimals

Checkpoint 5: Order of Operations

Checkpoint 6: Writing and Evaluating Algebraic Expressions

Checkpoint 7A: Simplifying Expressions

Checkpoint 7B: Displays of Data: Histograms and Box Plots

Checkpoint 8: Solving Multi-Step Equations

Checkpoint 9: Unit Rates and Proportions

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# Foundations for Implementation

This professional learning is designed for teachers as they begin their implementation of CPM. This series contains multiple components and is grounded in multiple active experiences delivered over the first year. This learning experience will encourage teachers to adjust their instructional practices, expand their content knowledge, and challenge their beliefs about teaching and learning. Teachers and leaders will gain first-hand experience with CPM with emphasis on what they will be teaching. Throughout this series educators will experience the mathematics, consider instructional practices, and learn about the classroom environment necessary for a successful implementation of CPM curriculum resources.

Page 2 of the Professional Learning Progression (PDF) describes all of the components of this learning event and the additional support available. Teachers new to a course, but have previously attended Foundations for Implementation, can choose to engage in the course Content Modules in the Professional Learning Portal rather than attending the entire series of learning events again.

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# Building on Instructional Practice Series

This series contains three different courses, taken in either order. The courses are designed for schools and teachers with a minimum of one year of experience teaching with CPM curriculum materials. Teachers will develop further understanding of strategies and tools for instructional practices and assessment.

# Building on Equity

In this course, participants will learn how to include equitable practices in their  classroom and support traditionally underserved students in becoming leaders of their own learning. Participants will reflect on how their math identity and mindsets impact student learning. They will begin working on a plan for implementing Chapter 1 that creates an equitable classroom culture and curate strategies for supporting all students in becoming leaders of their own learning. Follow-up during the school year will support ongoing implementation of equitable classroom practices.

# Building on Assessment

In this course, participants will apply assessment research to develop methods to provide feedback to students and to inform equitable assessment decisions. Participants will develop assessment action plans that will encourage continued collaboration within their learning community.

# Building on Discourse

This professional learning builds upon the Foundations for Implementation Series by improving teachers’ ability to facilitate meaningful mathematical discourse. This learning experience will encourage participants to adjust their instructional practices in the areas of sharing math authority, developing independent learners, and the creation of equitable classroom environments. Participants will plan for student learning by using teaching practices such as posing purposeful questioning, supporting productive struggle, and facilitating meaningful mathematical discourse. In doing so, participants learn to support students collaboratively engaged with rigorous, team-worthy tasks with all elements of the Effective Mathematics Teaching Practices.