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- HSS-ID.A.1Represent data with plots on the real number line (dot plots, histograms, and box plots).*
- HSS-ID.A.2Use statistics appropriate to the shape of the data distribution to compare center (median, mean) and spread (interquartile range, standard deviation) of two or more different data sets.*
- HSS-ID.A.3Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers).*
- HSS-ID.A.4Use the mean and standard deviation of a data set to fit it to a normal distribution and to estimate population percentages. Recognize that there are data sets for which such a procedure is not appropriate. Use calculators, spreadsheets, and tables to estimate areas under the normal curve.*

Problem Set: Texting vs. Social Media

Algebra I

Â» Unit:

Statistics

Big Idea:If we're going to use real data to answer a question, the first step is to make sense of that data.

Describing Data - Day 1 of 2

Algebra I

Â» Unit:

Data and Statistics

Big Idea:How would you describe these numbers without just writing a list? Students work together to describe data both in words and in visual representations.

Got Ups? A Statistics Unit Task

Algebra I

Â» 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.

What does the Bell Curve SOUND like?

Algebra II

Â» Unit:

Statistics: Something for Everyone

Big Idea:This lesson uses a microwave and popcorn to show the students what the Bell Curve SOUNDS like! Delicious and fun!

The Mastermind Project, Day 4: Interpreting Data and Drawing Conclusions

12th Grade Math

Â» Unit:

Statistics: Data in One Variable

Big Idea:The Mastermind Project serves as an introduction to the first three Mathematical Practices, as students use data to construct an argument and write a paper about their experiences playing the game.

Unit 1 Exam

12th Grade Math

Â» Unit:

Statistics: Data in One Variable

Big Idea:An engaging writing prompt gives students a chance to practice constructing an argument that is supported by the data.

Review and Problem Solving

12th Grade Math

Â» Unit:

Statistics: Data in One Variable

Big Idea:Review sessions are opportunities for students to collaborate and to reflect on what they've learned.

Stepping into Box Plots

Algebra II

Â» Unit:

Statistics: Something for Everyone

Big Idea:Boring Box Plots got you down? Teach them through foot sizes!

Organizing Data with a Box Plot

Algebra I

Â» Unit:

Modeling With Statistics

Big Idea:Students develop the concept of a box plot, including vocabulary and the process of constructing a box plot to represent a set of data.

Modeling with Box Plots and Histograms

Algebra I

Â» Unit:

Modeling With Statistics

Big Idea:By using multiple methods to analyze data, students can get a better overall sense of what trends the data is representing.

Constructing a Histogram

Algebra I

Â» Unit:

Modeling With Statistics

Big Idea:Students get to experience the collection and organization of data.

Analyzing a Box Plot

Algebra I

Â» Unit:

Modeling With Statistics

Big Idea:Students use real life data to construct box plots while gaining conceptual understanding of how the shape of a distribution tells a story.

Understanding Box Plots (with Assessment)

Algebra I

Â» Unit:

Modeling With Statistics

Big Idea:Students continue their exploration of Box Plots and they have a chance to demonstrate their mastery of unit concepts.

Describing Data - Day 2 of 2

Algebra I

Â» Unit:

Data and Statistics

Big Idea:Students learn how to represent data in one of three different ways and teach their classmates the method they learned.

Summing it Up: Dot Plots, Histograms and Box Plots

Algebra I

Â» Unit:

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

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

HSS-ID.A.1

Represent data with plots on the real number line (dot plots, histograms, and box plots).*

HSS-ID.A.2

Use statistics appropriate to the shape of the data distribution to compare center (median, mean) and spread (interquartile range, standard deviation) of two or more different data sets.*

HSS-ID.A.3

Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers).*

HSS-ID.A.4

Use the mean and standard deviation of a data set to fit it to a normal distribution and to estimate population percentages. Recognize that there are data sets for which such a procedure is not appropriate. Use calculators, spreadsheets, and tables to estimate areas under the normal curve.*