Informally assess the degree of visual overlap of two numerical data distributions with similar variabilities, measuring the difference between the centers by expressing it as a multiple of a measure of variability.

Examples:

The mean height of players on the basketball team is 10 cm greater than the mean height of players on the soccer team, about twice the variability (mean absolute deviation) on either team.

On a dot plot, the separation between two distributions of heights is noticeable.

ACOS 2009 Correlation
Sixth Grade

8 - Determining the distance between two points on a scale drawing or a map using proportional reasoning.

Seventh Grade

12.1 - Using a data set to create charts and graphs, including histograms, frequency tables, and stem-and-leaf plots, to display measures of central tendency.

Algebra I

14 - Use a scatterplot and its line of best fit or a specific line graph to determine the correlation existing between two sets of data, including positive, negative, or no correlation.

Algebraic Connections

12 - Create a model of a set of data by estimating the equation of a curve of best fit from tables of values or scatterplots.

Algebra 2

12.3 - Predicting population characteristics using sample statistics.

Alg 2 with Trig

16.4 - Identifying characteristics, including the mean and standard deviation, of a normal distribution.

I can find the lower and upper extremes, lower and upper quartiles, and the range.

I can create a box plot.

I can interpret data in a box plot.

My Humble Opinion
Vocabulary

Mean absolute deviation - A measure of variation in a set of numerical data, computed by adding the distances between each data value and the mean, then dividing by the number of data values. Example: For the data set {2, 3, 6, 7, 10, 12, 14, 15, 22, 120}, the mean absolute deviation is 20.

This objective is new to 7th grade, moving down from Algebra 2.

## 7-SP3

## Informally assess the degree of visual overlap of two numerical data distributions with similar variabilities, measuring the difference between the centers by expressing it as a multiple of a measure of variability.

Examples:

ACOS 2009 CorrelationSixth Grade

- 8 - Determining the distance between two points on a scale drawing or a map using proportional reasoning.

Seventh Grade- 12.1 - Using a data set to create charts and graphs, including histograms, frequency tables, and stem-and-leaf plots, to display measures of central tendency.

Algebra I- 14 - Use a scatterplot and its line of best fit or a specific line graph to determine the correlation existing between two sets of data, including positive, negative, or no correlation.

Algebraic Connections- 12 - Create a model of a set of data by estimating the equation of a curve of best fit from tables of values or scatterplots.

Algebra 2- 12.3 - Predicting population characteristics using sample statistics.

Alg 2 with TrigCMP2 CorrelationBookInvestigationObjectiveResourcesNorth Carolina's Lesson for Learning

X Marks the Spot - 7SP3, 7SP4

My Humble OpinionVocabulary

This objective is new to 7th grade, moving down from Algebra 2.Mean absolute deviation- A measure of variation in a set of numerical data, computed by adding the distances between each data value and the mean, then dividing by the number of data values. Example: For the data set {2, 3, 6, 7, 10, 12, 14, 15, 22, 120}, the mean absolute deviation is 20.