Visual+Overlap

= 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:
 * 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.

Sixth Grade > Seventh Grade > Algebra I Algebraic Connections Algebra 2 Alg 2 with Trig
 * ACOS 2009 Correlation **
 * 8 - Determining the distance between two points on a scale drawing or a map using proportional reasoning.
 * 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.
 * 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.
 * 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.
 * 12.3 - Predicting population characteristics using sample statistics.
 * 16.4 - Identifying characteristics, including the mean and standard deviation, of a normal distribution.


 * CMP2 Correlation **
 * **Book** ||= **Investigation** || **Objective** ||
 * Data Distributions ||= 2 || 7-SP3 ||
 * Common Core Inv ||= 5 || 7-SP3 ||

North Carolina's Lesson for Learning X Marks the Spot - 7SP3, 7SP4
 * Resources **
 * I can create a dot plot.
 * I can find mean, median, and mode.
 * 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.

Vocabulary This objective is new to 7th grade, moving down from Algebra 2.
 * My Humble Opinion **
 * __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.