|Subject Area||Math (Advanced)|
|Week #||Q3 W2|
|Unit of Instruction||Statistics|
7.SP.B.3 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. For example, 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 the two distributions of heights is noticeable.
7.SP.B.4 Use measures of center and measures of variability for numerical data from random samples to draw informal comparative inferences about two populations. For example, decide whether the words in a chapter of a seventh-grade science book are generally longer than the words in a chapter of a fourth-grade science book.
8.SP.A.1 Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities. Describe patterns such as clustering, outliers, positive or negative association, linear association, and nonlinear association.
|Learning Targets and Learning Criteria|
Measuring the difference between centers of overlapping data by expressing it as a measure of variability (ex. mean and median). Use measures of center and measures of variability to draw inferences about two populations.
Construct and interpret scatter plots.
Bellringers will be reviewing percents
Measures of Center Worksheet (Due in class)