Alaska Mathematics Standards Grade 7 Grade Level/Course 7 Domain Statistics and Probability Cluster Draw informal comparative inferences about two populations. 7.SP.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 Standard 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. Standards of Mathematical Practice Make sense of Reason abstractly Construct viable Model with Use appropriate Attend to Look for and make Look for and problems and and quantitatively. arguments and mathematics. tools strategically. precision. use of structure. express regularity persevere to solve critique the in repeated them. reasoning of reasoning. others. Learning Targets Knowledge Reasoning Skill Products Facts and concepts we want students to know. Use what they know to reason or solve problems. Use knowledge Use knowledge, reasoning, and reasoning to and skills to create a concrete act skillfully. product. Identify measures of central tendency (mean, Compare two numerical data distributions on a median and mode) in a data distribution. graph by visually comparing data displays, and assessing the degree of visual overlap. Identify measures of variation including upper Compare the differences in the measure of central quartile, lower quartile, upper tendency in two numerical data distributions by lower extreme-minimum, range, measuring the difference between the centers and interquartile range, and mean absolute expressing it as a multiple of a measure of deviation (i.e., box-and whisker plots, line variability. plots, dot plots, etc.).
Alaska Mathematics Standards Grade 7 Grade Level/Course 7 Domain Statistics and Probability Cluster Draw informal comparative inferences about two populations. Standard 7.SP.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. Standards of Mathematical Practice Make sense of problems and persevere to solve them. Reason abstractly and quantitatively. Construct viable arguments and critique the reasoning of others. Model with mathematics. Use appropriate tools strategically. Attend to precision. Look for and make use of structure. Look for and express regularity in repeated reasoning. Learning Targets Knowledge Reasoning Skill Products Facts and concepts we want students to know. Use what they know to reason or solve problems. Use knowledge and reasoning to act skillfully. Use knowledge, reasoning, and skills to create a concrete product. Identify measures of central tendency (mean, median and mode) in a data distribution. Identify measures of variation including upper quartile, lower quartile, upper lower extreme-minimum, range, interquartile range, and mean absolute deviation (i.e., box-and whisker plots, line plots, dot plots, etc.). Compare two numerical data distributions on a graph by visually comparing data displays, and assessing the degree of visual overlap. Compare the differences in the measure of central tendency in two numerical data distributions by measuring the difference between the centers and expressing it as a multiple of a measure of variability.