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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.*

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.*

What does the Bell Curve SOUND like?

Algebra II

» 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 Normal Distribution

12th Grade Math

» Unit:

Statistics: Data in One Variable

Big Idea:Is it normal to be 6'6" tall?

Unit 1 Exam

12th Grade Math

» 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

» 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

» Unit:

Statistics: Something for Everyone

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

Intro to Stats

Algebra II

» Unit:

Statistics

Big Idea:Liars, Darn Liars, and Statisticians…but stats don’t really lie, they’re just easily manipulated.

The HOW and WHY Behind Standard Deviation

Algebra II

» Unit:

Statistics: Something for Everyone

Big Idea:This lesson works to give the teacher the flexibility to “paint” his or her own description of standard deviation, while providing the basic flow and context of the lesson.

Algebra II Jeopardy

Algebra II

» Unit:

Games

Big Idea:Play Jeopardy to fill those odd days before break or during homecoming week with meaningful mathematical activities like this Jeopardy game.

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.

What's Wrong With Mean?

12th Grade Math

» Unit:

Statistics: Data in One Variable

Big Idea:Standard deviation can be an opaque topic for students if it lacks context. Fortunately, it's possible to have some fun seeing why this powerful statistical tool was developed.

In the Middle

Algebra II

» Unit:

Statistics

Big Idea: Too much data! Too many numbers! Use a frequency distribution to find the mean.

What's Normal

Algebra II

» Unit:

Statistics

Big Idea:What's normal, anyway? How does being normal have anything to do with mathematics?

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!

Bell-Shaped Distributions and the Normal Model

Algebra II

» Unit:

Statistics: Single-Variable

Big Idea:For mound-shaped, symmetric distributions, the Normal Model is a good approximation. Applying the normal model allows us to predict population percentages and percentile values using the Empirical Rule.

A New Way To Measure Spread- Standard Deviation

Algebra II

» Unit:

Modeling Data with Statistics and Probability

Big Idea:Students move away from quartiles as a measure of spread and develop an intuitive approach to standard deviation.

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.*