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Scatterplots and Non-Linear Data

Algebra I

» Unit:

Modeling With Statistics

Big Idea:In this lesson students discover that some bivariate data should not be modeled by linear functions. Other functions are considered.

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.

Predicting the Height of a Criminal (Day 1 of 2)

Algebra I

» Unit:

Linear Functions

Big Idea:The fun part of this lesson is to introduce to students that the femur length of a person is directly proportional to their height.

Predicting the Height of a Criminal (Day 2 of 2)

Algebra I

» Unit:

Linear Functions

Big Idea:On Day 2 students complete the analysis and compare prediction equations calculated by hand and on the TI-Nspire calculator.

Analyzing Residuals

Algebra I

» Unit:

Modeling With Statistics

Big Idea:So how good is your line of best fit? Students interpret residuals for a line of best fit using online applets.

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.

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.

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?

Understanding the Correlation Coefficient

Algebra I

» Unit:

Data and Statistics

Big Idea:Students "uncover" the meaning of the correlation coefficient (r) by graphing and examining a variety of data sets.

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.

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.

How's Your Spread

Algebra II

» Unit:

Statistics

Big Idea:You want me to subtract and square how many numbers?!? Make the process of managing data less crazy using a frequency distribution.

Modeling with Non-Linear Data

Algebra I

» Unit:

Modeling With Statistics

Big Idea:Oh No! I dropped all of my skittles on the floor…how many have the “s” up and how many do not? This is the beginning of the study into non-linear regression.

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.

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.*