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Got Ups? A Statistics Unit Task

Algebra I

» Unit:

Modeling With Statistics

Big Idea:Students are able to demonstrate all that they have learned throughout the statistics unit in this open-ended performance task.

James Bialasik

Suburban Env.

15 Resources

22 Favorites

15 Resources

22 Favorites

Expore Correlation on Gapminder

12th Grade Math

» Unit:

Statistics: Bivariate Data

Big Idea:Gapminder (http://www.gapminder.org/) is a powerful tool that packs a lot of data into one space.

James Dunseith

Urban Env.

20 Resources

6 Favorites

20 Resources

6 Favorites

Using a Scatterplot to Model Data

Algebra I

» Unit:

Modeling With Statistics

Big Idea:Students collect and organize bivariate data and determine if a correlation between the variables exists.

James Bialasik

Suburban Env.

14 Resources

10 Favorites

14 Resources

10 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!

Jason Colombino

Urban Env.

18 Resources

11 Favorites

18 Resources

11 Favorites

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.

Jason Colombino

Urban Env.

17 Resources

11 Favorites

17 Resources

11 Favorites

Introduction to Scatter Plots, Line of Best Fit, and the Prediction Equation

Algebra I

» Unit:

Linear Functions

Big Idea:The emphasis in this lesson is to take students a little beyond the basics of Scatter Plots to explain the correlation coefficient (r) and the coefficient of determination (r squared).

Rhonda Leichliter

Rural Env.

11 Resources

4 Favorites

11 Resources

4 Favorites

Linear Regression and Residuals

Algebra II

» Unit:

Statistics: Two Variables

Big Idea:Examining the size and distribution of errors made by a model can help us determine if the model is appropriate.

Colleen Werner

Suburban Env.

14 Resources

2 Favorites

14 Resources

2 Favorites

Stats Assessment

Algebra II

» Unit:

Statistics

Big Idea:Did they really get it? What do you need to continue to build? This assessment helps you identify each student's strengths and weaknesses.

Merrie Rampy

Rural Env.

9 Resources

9 Resources

Muddying the Waters: Formative Assessment Lesson

Algebra II

» Unit:

Statistics: Something for Everyone

Big Idea:DANGER! Statistics get misapplied in many real world applications!

Jarod Hammel

Suburban Env.

13 Resources

2 Favorites

13 Resources

2 Favorites

Describing Scatterplots

Algebra II

» Unit:

Statistics: Two Variables

Big Idea:The appearance of a scatter plot can tell us a lot about the relationship between the variables on the axes.

Colleen Werner

Suburban Env.

13 Resources

13 Resources

Are Women Paid Less Than Men?

Algebra I

» Unit:

Data and Statistics

Big Idea:Students use real data from the U.S. census to understand linear regression and correlation coefficients.

Amanda Hathaway

Urban Env.

11 Resources

4 Favorites

11 Resources

4 Favorites

Correlation Spiral Lesson

8th Grade Math

» Unit:

Statistical Spirals

Big Idea:The tighter packed the data, the better the correlation

Shaun Errichiello

Urban Env.

21 Resources

1 Favorite

21 Resources

1 Favorite

Stats Review

Algebra II

» Unit:

Statistics

Big Idea:TOO MUCH INFORMATION!! That's what my students used to say until I helped them learn how to study.

Merrie Rampy

Rural Env.

7 Resources

7 Resources

Unit 2 Review, and Assessing Correlation

12th Grade Math

» Unit:

Statistics: Bivariate Data

Big Idea:This review lesson takes students through some key ideas from Unit 2, provides an overview of how to interpret the correlation coefficient, and helps to introduce some key ideas for the upcoming unit.

James Dunseith

Urban Env.

18 Resources

18 Resources

Types of Data Spiral Lesson

8th Grade Math

» Unit:

Statistical Spirals

Big Idea:The type of data we collect connects to the type of conclusions we can draw.

Shaun Errichiello

Urban Env.

28 Resources

28 Resources

HSS-ID.C.7

Interpret the slope (rate of change) and the intercept (constant term) of a linear model in the context of the data.*

HSS-ID.C.8

Compute (using technology) and interpret the correlation coefficient of a linear fit.*

HSS-ID.C.9

Distinguish between correlation and causation.*