ScholarGate
Asisten

Bandingkan metode

Tinjau metode pilihan Anda berdampingan; baris yang berbeda akan disorot.

Sampling Atribut dalam Audit×Sampling Unit Moneter×
BidangAkuntansiAkuntansi
KeluargaMCDMMCDM
Tahun asal19721972
PencetusAmerican Institute of Certified Public Accountants (AICPA)American Institute of Certified Public Accountants (AICPA) and audit theorists
TipeStatistical sampling technique for control testingStatistical sampling technique for substantive testing
Sumber perintisAmerican Institute of Certified Public Accountants (AICPA). (2015). Audit Sampling. AU-C Section 530. AICPA Professional Standards. link ↗American Institute of Certified Public Accountants (AICPA). (2015). Audit Sampling. AU-C Section 530. AICPA Professional Standards. link ↗
AliasStatistical Attribute Sampling, Compliance Testing, Control Testing SamplingDollar Unit Sampling, MUS, Cumulative Monetary Amount Sampling
Terkait33
RingkasanAttribute sampling is a statistical sampling method used primarily in testing the operating effectiveness of internal controls. Rather than measuring the dollar impact of errors (as in substantive sampling), attribute sampling answers a yes/no question: 'Does this control exist and is it operating as designed?' By determining the sample size and evaluating test results statistically, auditors can reach defensible conclusions about control effectiveness.Monetary Unit Sampling (MUS) is a statistical sampling method widely used in audit substantive testing that selects individual dollar amounts from an account population rather than individual transactions. This approach is particularly effective for testing the correctness of financial statement balances because large-dollar items are automatically included more frequently in the sample, making it efficient for detecting material misstatements.
ScholarGateSet data
  1. v1
  2. 2 Sumber
  3. PUBLISHED
  1. v1
  2. 2 Sumber
  3. PUBLISHED

Ke halaman pencarian Unduh salindia

ScholarGateBandingkan metode: Attribute Sampling in Auditing · Monetary Unit Sampling. Diakses 2026-06-15 dari https://scholargate.app/id/compare