Track your completion across all 30+ topic-specific drills
Practice reading scientific tables, identifying trends, extracting specific values, and comparing data points across rows and columns.
Interpret line graphs, bar charts, scatter plots, and pie charts; identify maximum/minimum values, trends, and relationships between variables.
Recognize increasing/decreasing trends, direct/inverse relationships, periodic patterns, and correlations in scientific data.
Estimate values between data points (interpolation) and predict values beyond the data range (extrapolation) using graphs and tables.
Convert information between tables, graphs, diagrams, and written descriptions; match data representations to scenarios.
Calculate slopes, rates of change, and average values from graphs and tables; determine which variable changes faster.
Compare multiple experiments, trials, or conditions; identify similarities, differences, and which data set shows the strongest effect.
Comprehensive review of all Interpretation of Data skills: reading tables/graphs, trends, interpolation, translating formats, rates, and comparisons.
Identify control groups, experimental groups, sample size, randomization, and proper experimental setup in scientific studies.
Distinguish between independent variables (manipulated), dependent variables (measured), and controlled variables (constants).
Interpret step-by-step procedures, identify the purpose of each step, and recognize proper experimental techniques.
Choose appropriate measuring instruments, determine precision requirements, and identify correct units for scientific measurements.
Assess whether experiments are well-designed, identify sources of error, and determine if conclusions are supported by data.
Complete review of Scientific Investigation skills: experimental design, variables, procedures, tools, and validity assessment.
Analyze competing scientific theories, identify key differences, and determine what evidence would support or refute each viewpoint.
Determine which hypothesis is better supported when new experimental data is presented; assess consistency with predictions.
Make valid inferences based on experimental results, avoid overgeneralization, and distinguish between correlation and causation.
Recognize unstated assumptions underlying scientific arguments, experiments, and conclusions; assess whether assumptions are reasonable.
Evaluate multiple theories or models against evidence, identify which is most consistent with data, and explain why.
Full review of Evaluation of Models skills: comparing viewpoints, evaluating hypotheses, drawing conclusions, assumptions, and theory support.
Practice with biology-themed passages covering cell biology, genetics, ecology, evolution, and natural selection.
Practice with chemistry-themed passages covering pH, phase changes, solubility, reactions, and molecular structure.
Practice with physics-themed passages covering forces, motion, energy, momentum, gravity, and density.
Practice with Earth/Space science passages covering geology, astronomy, meteorology, oceanography, and climate.
Focused practice on Data Representation passages (2-3 per test) — pure data analysis with graphs, tables, and diagrams.
Focused practice on Research Summaries passages (2-3 per test) — experimental design, procedures, and results analysis.
Focused practice on Conflicting Viewpoints passages (1 per test) — comparing competing theories and scientific arguments.
Full-length timed practice set with 6-7 passages (40 questions) — simulate real test conditions with mixed passage types.
Full-length timed practice set with 6-7 passages (40 questions) — different passages from Set 1 for additional practice.
Full-length timed practice set with 6-7 passages (40 questions) — advanced difficulty for final test prep.