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6th Grade: Building on and reinforcing their understanding of number, students begin to develop their ability to think statistically. Students recognize that a data distribution may not have a definite center and that different ways to measure center yield different values. The median measures center in the sense that it is roughly the middle value. The mean measures center in the sense that it is the value that each data point would take on if the total of the data values were redistributed equally, and also in the sense that it is a balance point. Students recognize that a measure of variability (interquartile range or mean absolute deviation) can also be useful for summarizing data because two very different sets of data can have the same mean and median yet be distinguished by their variability. Students learn to describe and summarize numerical • Develop understanding of statistical variability. • Summarize and describe distributions. 7th Grade (4) Students build on their previous work with single data distributions to compare two data distributions and address questions about differences between populations. They begin informal work with random sampling to generate data sets and learn about the importance of representative samples for drawing inferences. •Use random sampling to draw inferences about a population. •Draw informal comparative inferences about two populations. •Investigate chance processes and develop, use, and evaluate probability models. 8th Grade formulating and reasoning about expressions and equations, including modeling an association in bivariate data with a linear equation… Students also use a linear equation to describe the association between two quantities in bivariate data (such as arm span vs. height for students in a classroom). At this grade, fitting the model, and assessing its fit to the data are done informally. Interpreting the model in the context of the data requires students to express a relationship between the two quantities in question and to interpret components of the relationship (such as slope and y-intercept) in terms of the situation. •Investigate patterns of association in bivariate data. The following Statistics and Probability standards are relatively important within this category as widely applicable prerequisites: Summarize, represent, and interpret data on a single count or measurement variable S-ID.2 Use statistics appropriate to the shape of the data distribution to compare center (median, mean) and spread (interquartile range, standard deviation) of two or more different data sets. S-ID.7 Interpret the slope (rate of change) and the intercept (constant term) of a linear model in the context of the data. Understand and evaluate random processes underlying statistical experiments S-IC.1 Understand statistics as a process for making inferences about population parameters based on a random sample from that population. Common Core for High School: Statistics and Probability overview Interpreting Categorical and Quantitative Data • Summarize, represent, and interpret data on a single count or measurement variable (compare center and spread of two or more data sets)2 • Summarize, represent, and interpret data on two categorical and quantitative variables • Interpret linear models (interpret slope and y-intercept in context) Making Inferences and Justifying Conclusions • Understand and evaluate random processes underlying statistical experiments (make inferences about population from a random sample) • Make inferences and justify conclusions from sample surveys, experiments and observational studies Conditional Probability and the Rules of Probability • Understand independence and conditional probability and use them to interpret data • Use the rules of probability to compute probabilities of compound events in a uniform probability model Using Probability to Make Decisions • Calculate expected values and use them to solve problems • Use probability to evaluate outcomes of decisions 2 The items in color are considered “widely applicable prerequisites” for a range of college majors, postsecondary programs and careers.