Intermediate Statistician (China) study materials
Intermediate Statistician (China) study resources

Intermediate Statistician (China) cheat sheet

Intermediate Statistician (China) · Keep the key ideas within reach.

Quick reference

Integrated quantitative and business foundations

  • Define the population, variable, period and denominator.

  • Separate sampling variability from systematic bias.

  • Interpret confidence intervals and p-values within their models.

  • Distinguish descriptive association, causal claims, stocks and flows.

  • Separate business activity and owner transactions while recording capital and drawings appropriately.

  • Apply the supplied earning and expense-allocation model rather than cash timing alone.

  • Prudence requires caution without deliberate bias.

  • Identify the applicable framework and version before applying detailed recognition rules.

  • Distinguish changes in estimates, policies and genuine errors.

  • Debit assets and expenses; credit liabilities, income and capital

  • Trade discount is deducted before recording; cash discount is recorded on payment

  • Credit notes issued go to sales returns; credit notes received go to purchases returns

  • A trial balance proves arithmetical equality, not accuracy

  • Errors of principle, commission, omission and reversal do not affect trial balance agreement

  • One-sided postings and addition errors do affect the difference

  • Corrections are made by journal, not by changing source documents

  • Distinguish a budget flow, a debt stock and the financing transactions.

  • A bank loan can create a corresponding deposit; a 1/r multiplier is a deliberately simplified model.

  • Policy rates influence, but do not equal, every retail borrowing rate.

  • Real and nominal measures need the relevant price index and base normalization.

  • Spending and tax multipliers require their model and sign conventions.

  • An index-point change is not automatically an equal percentage change.

  • State the initial-base, midpoint or point elasticity convention.

  • A sample standard error differs from individual-observation dispersion.