Empty Layer.

Empty Layer.

Empty Layer.

Empty Layer.

Empty Layer.

Empty Layer.

Empty Layer.

Empty Layer.

Empty Layer.

Empty Layer.

My Curriculum

Jason Colombino

Algebra I

Collins Middle

Salem, MA

Urban Environment

Similar Teachers

View all Master TeachersAlgebra I

(8 Units, 82 Lessons)

Unit 8 - Our City Statistics: Who We Are and Where We are Going(10 Lessons)

Unit 1 - Thinking Like a Mathematician: Modeling with Functions(10 Lessons)

Unit 2 - Its Not Always a Straight Answer: Linear Equations and Inequalities in 1 Variable (10 Lessons)

Unit 3 - Everything is Relative: Linear Functions(10 Lessons)

Unit 4 - Making Informed Decisions with Systems of Equations(12 Lessons)

Unit 5 - Exponential Functions(10 Lessons)

Unit 6 - Operations on Polynomials(7 Lessons)

Unit 7 - Interpret and Build Quadratic Functions and Equations(13 Lessons)

Unit 8 - Our City Statistics: Who We Are and Where We are Going(10 Lessons)

Our City Statistics Project and Assessment

Algebra I

» Unit:

Our City Statistics: Who We Are and Where We are Going

Big Idea:Students demonstrate interpersonal and data literacy skills as use statistics to learn about their community.

17 Resources

16 Favorites

17 Resources

16 Favorites

Correlation and Causation

Algebra I

» Unit:

Our City Statistics: Who We Are and Where We are Going

Big Idea:Students will distinguish between correlation and causation by analyzing relevant real life examples!

18 Resources

15 Favorites

18 Resources

15 Favorites

Estimating Population Percentages - It is all normal

Algebra I

» Unit:

Our City Statistics: Who We Are and Where We are Going

Big Idea:Students will apply their knowledge of measures of center and spread to estimate population percentages in different contexts!

15 Resources

2 Favorites

15 Resources

2 Favorites

Summing it Up: Dot Plots, Histograms and Box Plots

Algebra I

» Unit:

Our City Statistics: Who We Are and Where We are Going

Big Idea:Students will learn different ways to represent and interpret data!

19 Resources

5 Favorites

19 Resources

5 Favorites

Making Relevant Comparisons: Comparing Populations

Algebra I

» Unit:

Our City Statistics: Who We Are and Where We are Going

Big Idea:Students will compare two or more data sets by using appropriate measures of center (median, mean) and spread (interquartile range, standard deviation).

15 Resources

4 Favorites

15 Resources

4 Favorites

What's the Frequency Kenneth? Summarizing Data with Frequency Tables

Algebra I

» Unit:

Our City Statistics: Who We Are and Where We are Going

Big Idea:Students will answer REM’s question by creating and interpreting frequency tables as another tool to organize and understand data!

19 Resources

4 Favorites

19 Resources

4 Favorites

Cinderella's Slipper: Scatterplots, Residuals and Goodness of Fit

Algebra I

» Unit:

Our City Statistics: Who We Are and Where We are Going

Big Idea:Students explore the idea of Goodness of Fit for different data sets and learn to fit data that can be modeled with linear associations!

21 Resources

8 Favorites

21 Resources

8 Favorites

How does this fit? CalculatingCorrelation

Algebra I

» Unit:

Our City Statistics: Who We Are and Where We are Going

Big Idea:Students will using statistics to understand the goodness of fit for a linear model of bivariate data.

14 Resources

2 Favorites

14 Resources

2 Favorites

What does it mean? Interpreting linear models

Algebra I

» Unit:

Our City Statistics: Who We Are and Where We are Going

Big Idea:Students will apply their understanding of slope and intercepts to model different contexts with linear functions!

18 Resources

2 Favorites

18 Resources

2 Favorites

Outliers and Outsiders: The Impact on Data

Algebra I

» Unit:

Our City Statistics: Who We Are and Where We are Going

Big Idea:Students real world relationships to gain understanding of the power of individual data points.

14 Resources

1 Favorites

14 Resources

1 Favorites