• The New SAT:  Problem Solving and Data Analysis Domain
    Details
     
     
    Application
    1. Use ratios, rates, proportional relationships, and scale drawings to solve single- and multi-step problems. The student will use a proportional relationship between two variables to solve a multi-step problem to determine a ratio or rate; calculate a ratio or rate and then solve a multi-step problem; take a given ratio or rate and solve a multi-step problem.
    2. Solve single- and multi-step problems involving percentages. The student will solve a multi-step problem to determine a percentage; calculate a percentage and then solve a multi-step problem; take a given percentage and solve a multistep problem.
    3. Solve single- and multi-step problems involving measurement quantities, units, and unit conversion. The student will solve a multi-step problem to determine a unit rate; calculate a unit rate and then solve a multi-step problem; solve a multi-step problem to complete a unit conversion; solve a multistep problem to calculate density; use the concept of density to solve a multi-step problem.
    4. Given a scatterplot, use linear, quadratic, or exponential models to describe how the variables are related. The student will, given a scatterplot, select the equation of a line or curve of best fit; interpret the line in the context of the situation; use the line or curve of best fit to make a prediction.
    5. Use the relationship between two variables to investigate key features of the graph. The student will make connections between the graphical representation of a relationship and properties of the graph by selecting the graph that represents the properties described; using the graph to identify a value or set of values.
    6. Compare linear growth with exponential growth. The student will infer the connection between two variables given a context in order to determine what type of model fits best.
    7. Use two-way tables to summarize categorical data and relative frequencies, and calculate conditional probability. The student will summarize categorical data or use categorical data to calculate conditional frequencies; conditional probabilities; association of variables; independence of events.
    8. Make inferences about population parameters based on a sample data. The student will estimate a population parameter given the results from a random sample of the population. The sample statistics may mention confidence intervals and measurement error that the student should understand and make use of, but need not calculate.
    9. Use statistics to investigate measures of center of data and analyze shape, center, and spread. The student will calculate measures of center and/or spread for a given set of data or use given statistics to compare two separate sets of data. The measures of center that may be calculated include mean, median, and mode, and the measures of spread that may be calculated include range. When comparing two data sets, the student may investigate mean, median, mode, range,  and/or standard deviation.
    10. Evaluate reports to make inferences, justify conclusions, and determine appropriateness of data collection methods. The student will evaluate reports to make inferences, justify conclusions, and determine appropriateness of data collection methods. The reports may consist of tables, graphs, and text summaries.