China Public Institution Exam - Category B (Social Sciences) - independent foundations study materials
China Public Institution Exam - Category B (Social Sciences) - independent foundations study resources

China Public Institution Exam - Category B (Social Sciences) - independent foundations: Quantitative relations, rates and accountable data interpretation

China Public Institution Exam - Category B (Social Sciences) - independent foundations · Work through your exam, one topic at a time.

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Quantitative relations, rates and accountable data interpretation

Quantitative reasoning starts by naming the quantity being requested and the units in which it is measured. Translate the verbal conditions into a small model before calculating. A rate describes an amount per unit of time, a percentage describes a ratio to a stated base, and a total combines compatible quantities. A correct calculation on the wrong denominator is still the wrong answer.

For percentage change, use change divided by the original value. A rise from eighty to one hundred is twenty-five percent, whereas a fall from one hundred to eighty is twenty percent. A percentage-point difference subtracts two percentage values directly. Successive increases compound: applying ten percent twice multiplies by one point one squared, not by one point two. When comparing regions or periods, check whether the population, price base, reporting definition or observation duration has changed.

For work problems, express each team's output as a fraction of one complete job per time unit. Add rates only when the scenario permits simultaneous independent contributions; account for phases when teams join or leave. For motion, separate departure delay from time spent moving and use relative speed only under the stated direction assumptions. For mixtures, track the amount of the relevant component and the total separately. Evaporation of pure water changes concentration without changing the dissolved salt mass.

Combinatorial questions require a decision about whether order matters and whether repetition is permitted. Check eligibility constraints before multiplying counts. Probabilities require a clearly defined sample space; independence is an assumption to establish, not a default consequence of two events having different names. A conditional probability uses the condition as its new reference population.

For tables and charts, read titles, units, dates and footnotes before selecting values. Distinguish totals from averages and an average of rates from a rate computed from combined totals. A rising complaint count cannot establish worsening service if reporting access changed. Calculate exactly enough to distinguish the options, retaining sufficient intermediate precision. Finish with a plausibility check: a part should not exceed its compatible whole, units should cancel correctly, and a proposed percentage should reproduce the original amounts when reversed. Numerical examples in this material are supplied exercise models, not current official statistics or safe operational limits.