Domaine de contenu · Mathématiques
Problem-Solving and Data Analysis au SAT
Problem-Solving and Data Analysis covers ratios and units, percentages, one-variable and two-variable data, probability, and what a study design allows you to conclude. It is the domain where reading the question carefully matters most.
- Section
- Mathématiques du SAT
- Domaine de contenu
- Problem-Solving and Data Analysis
- Part de la section
- 15%
- Questions notées
- Environ 6 par épreuve
Parmi les questions notées de cette section
Sur 40 questions notées dans la section
Entraîne-toi sur Problem-Solving and Data Analysis
Dix questions sur ce domaine, sans chrono, avec l'explication après chaque réponse. Aucun compte requis ; connecte-toi et le même entraînement alimente aussi la précision par compétence que lit ton plan d'étude.
Questions sur Problem-Solving and Data Analysis
- Is this domain mostly arithmetic?
- The arithmetic is light, and the questions turn on setup instead. Most wrong answers come from using the wrong denominator, the wrong base for a percent change, or a conclusion the study design does not support.
- What question types are inside Problem-Solving and Data Analysis?
- College Board groups 7 question types in Problem-Solving and Data Analysis: Ratios, rates, proportional relationships, and units; Percentages; One-variable data: Distributions and measures of center and spread; Two-variable data: Models and scatterplots; Probability and conditional probability; Inference from sample statistics and margin of error; Evaluating statistical claims: Observational studies and experiments.
Types de questions en Problem-Solving and Data Analysis
- Ratios, rates, proportional relationships, and unitsThis skill is proportional reasoning and unit conversion: building a ratio from a description and converting between units without losing track of them.
- PercentagesPercentages asks for percent change, a percent of a quantity, or the original value after a change.
- One-variable data: Distributions and measures of center and spreadOne-variable data asks you to read a distribution: mean, median, range, standard deviation, and how one added value shifts each of them.
- Two-variable data: Models and scatterplotsTwo-variable data asks you to read a line of best fit: what its slope means, how a prediction uses it, and how far the points sit from it.
- Probability and conditional probabilityProbability asks for the chance of an outcome from a table or a description, and the conditional version narrows the question to one group.
- Inference from sample statistics and margin of errorThis skill asks what a sample can say about a population, and how a margin of error turns an estimate into a range.
- Evaluating statistical claims: Observational studies and experimentsThis skill asks what a study's design lets you conclude, chiefly whether it was an observational study or a randomized experiment.